Dissertations / Theses: 'Methods of selecting'

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Hawkins, Robert Edward. "New methods for selecting high affinity antibodies." Thesis, Open University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240367.

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Parkes, Sally J. "A comparison of methods for selecting untagged animals for breeding purposes." Thesis, Bangor University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273622.

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Auclair, Paul Fernand. "Applications from simulation to the problem of selecting exponential populations." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/25579.

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Zvěřinová, Iva. "Metody výběru pracovníků a jejich využití." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-72396.

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The thesis presents a theoretical knowledge of staffing, especially pay attention to methods of selection and use of them. Application of work sampling analysis of the company and assess the methods that are used in selecting employees in different occupations. Finally are these methods evaluated and recommended changes.

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Eriksson, Stefan. "Visual replenishment methods in manufacturing industry and suggestion for a decision tool." Licentiate thesis, KTH, Produktionssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-123095.

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In almost all supply chains, materials need to be stored or buffered, implying that manufacturing companies need effective replenishment methods. However, this is challenging, since companies must balance inventory costs and customer service in complex and different situations. Therefore, it is important to choose replenishment methods carefully. One well-known and widespread method is Material Requirements Planning (MRP). But the method has problems, such as regarding volume flexibility. There are other methods, but the literature lacks case studies and detailed descriptions and analysis of them, especially for visually oriented methods. Therefore, it is important to explore different methods for materials supply. The purpose of this study is to analyze the application of visually oriented replenishment methods in manufacturing industry and further to design a tentative decision tool for selecting methods. The research aims to provide some answers to three key questions. The first research question concerns general factors that are important for evaluating how effective replenishment methods are. From the literature review, different factors emerged such as product characteristics (fit in the Kraljic matrix, volume issues, size, etc.); information, trust, and geographical proximity between supplier and customer; and different logistics goals (delivery service elements, tied-up capital, use of resources, inventory accuracy). It is also import to include the basic principles methods are related to. The factors were summarized in an analysis model, which is structured with three main areas (planning environment/conditions, basic principles, and effects). The model is used to analyze four case studies. The second research question focuses on the characteristics for visually orientedreplenishment methods. Examples of characteristics are: easy to understand and operate, offers uncomplicated flows, substantially applicable for noncritical and leverage parts with high yearly requirement and fairly even consumption, provides potential for reduced errors in stores/flows, potential for providing high delivery service and low levels of tied-up capital and resource utilization. The third research question focuses on what a tentative decision tool for selecting replenishment methods might look like, based on the factors that emerged from the other research questions and studies by others. In order to achieve an efficient materials supply, companies need to consider these factors when selecting replenishment methods. The decision tool consists of different steps, considering aspects of the planning environment/conditions in relation to the product and the supplier. The importance of the companies’ goals/motives for materials supply must also be assessed. The output from the decision tool is appropriate replenishment methods.

QC 20130603

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Kisthardt, Adam M. "Selecting hostage negotiators for the Pennsylvania State Police Special Emergency Response Team an examination of methods of personnel selection /." Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only. Instructions for remote access, 2000. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.P.A.)--Kutztown University of Pennsylvania, 2000.
Source: Masters Abstracts International, Volume: 45-06, page: 2946. Typescript. Abstract precedes thesis as, preliminary leaves [2-3]. Includes bibliographical references (leaves 89-90).

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Royster, Reba Michelle. "Strategies for Selecting and Individualizing Training for Employee Positioning." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5652.

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Lack of effective selection and training of employees for positioning within a business can have extensive financial repercussions. Fostering mentoring relationships between leaders and employees increases competitive advantage and institutional financial growth. However, there is limited research that supports the role of mentoring leadership styles for improving organizational productivity. The purpose of this single case study was to explore strategies used by business managers to select and individually train employees for opportunities within the organization to achieve job-person fit. The sample included 5 business managers employed within a medium-sized organization in a consultation firm in the mid-Atlantic region of the United States. Strategic human resource management theory formed the conceptual framework for this study. Data collection used semistructured interviews and employee performance evaluations. Yin's 5 steps for qualitative data analysis provided the process for organizing the data and conducting the data analysis. Four themes emerged from the data analysis including job-person fit, organizational culture, employee relationships, and performance management. Potential contributions to positive social change include increasing employee retention rates, which could benefit local business economies due to the retained employees'sustained local buying power and contributions to their communities' charities.

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Robertson, Gail Alexandra. "Computerised methods for selecting a small number of single nucleotide polymorphisms that enable bacterial strain discrimination." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16284/.

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The possibility of identifying single nucleotide polymorphisms (SNPs) that would be useful for rapid bacterial typing was investigated. Neisseria meningitidis was the organism chosen for modelling the approach since informative SNPs could be found amongst the sequence data available for multi-locus sequence typing (MLST) at http://www.mlst.net. The hypothesis tested was that a small number of SNPs located within the seven gene fragments sequenced for MLST provide information equivalent to MLST. Preliminary investigations revealed that a small number of SNPs could be utilised to highly discriminate sequence types (STs) of clinical interest. Laboratory procedures demonstrated that SNP fingerprinting of N. meningitidis isolates is achievable. Further tests showed that laboratory identification of a defining SNP in the genome of isolates was to be a practical method of obtaining relevant typing information. Identification of the most discriminating SNPs amongst the ever-increasing amount of MLST sequence data summoned the need for computer-based assistance. Two methods of SNP selection devised by the author of this thesis were translated into computer-based algorithms by contributing team members. Software for two computer programs was produced. The algorithms facilitate the optimal selection of SNPs useful for (1) distinguishing specific STs and (2) differentiating non-specific STs. Current input information can be obtained from the MLST database and consequently the programs can be applied to any bacterial species for which MLST data have been entered. The two algorithms for the selection of SNPs were designed to serve contrasting purposes. The first of these was to determine the ST identity of isolates from an outbreak of disease. In this case, isolates would be tested for their membership to any of the STs known to be associated with disease. It was shown that one SNP per ST could distinguish each of four hyperinvasive STs of N. meningitidis from between 92.5% and 97.5% of all other STs. With two SNPs per ST, between 96.7% and 99.0% discrimination is achieved. The SNPs were selected from MLST loci with the assistance of the first algorithm which scores SNPs according to the number of base mismatches in a sequence alignment between an allele of an ST of interest and alleles belonging to all other STs at a specified locus. The second purpose was to determine whether or not isolates from different sources belong to the same ST, regardless of their actual ST identity. It was shown that with seven SNPs, four sample STs of N. meningitidis could, on average, be discriminated from 97.1% of all other STs. The SNPs were selected with the aid of the second algorithm which scores SNPs at MLST loci for the relative frequency of each nucleotide base in a sequence alignment as a measure of the extent of their polymorphism. A third algorithm for selecting SNPs has been discussed. By altering the method of scoring SNPs, it is possible to overcome the limitations inherent in the two algorithms that were utilised for finding SNPs. In addition, the third approach caters for finding SNPs that distinguish members of a complex from non-members.

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Finch, Aureliano Paolo. "An investigation of methods for identifying and selecting bolt-on dimensions : the EQ-5D-5L case study." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/19113/.

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In health economics benefits are often measured in terms of quality adjusted life years (QALYs), an index that combines the length of life and the health related quality of life (HRQoL) of patients. HRQoL is usually estimated using generic preference based measures (GPBMs). To ensure comparable decisions it would be recommended to use only one GPBM in all assessments, but this is not always appropriate due to validity and responsiveness problems of these measures. When this happens, bolt-ons represent a potential solution. Bolt-on research is at an early stage, and the process of how to identify and select bolt-ons is still unclear. To address this gap, this thesis examines methods for identifying and selecting bolt-on dimensions, using the EQ-5D as a case study. This thesis summarizes the results of four studies. The first study examined the performance of the 5 most commonly used GPBMs across all disease areas and conditions, using an overview of systematic reviews. The second study investigated the possibility of using factor analysis techniques to identify bolt-on dimensions. The third study explored whether it is possible to select between bolt-ons using their ability to predict differences in HRQoL. The fourth study examined whether it is possible to select between bolt-ons using preferences elicited from pairwise choices over health states. A number of important findings were made. First, GPBMs appear generally valid and responsive across many disease areas, but the quality, nature and breath of evidence makes difficult to draw definitive conclusions. Second, factor analysis techniques can be used to identify bolt-on dimensions. Exploratory and confirmatory factor analysis need to be used in conjunction. Third, bolt-ons differ in their ability to predict differences in HRQoL and for this reason they might be selected based on this information. Fourth, bolt-ons differ in terms of their impact on preferences and for this reason they might be selected based on this information. Overall, a key contribution of this thesis is to systematically examine methods for identifying and selecting bolt-ons for generic preference based measures.

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Chen, I.-Chen. "Improved Methods and Selecting Classification Types for Time-Dependent Covariates in the Marginal Analysis of Longitudinal Data." UKnowledge, 2018. https://uknowledge.uky.edu/epb_etds/19.

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Generalized estimating equations (GEE) are popularly utilized for the marginal analysis of longitudinal data. In order to obtain consistent regression parameter estimates, these estimating equations must be unbiased. However, when certain types of time-dependent covariates are presented, these equations can be biased unless an independence working correlation structure is employed. Moreover, in this case regression parameter estimation can be very inefficient because not all valid moment conditions are incorporated within the corresponding estimating equations. Therefore, approaches using the generalized method of moments or quadratic inference functions have been proposed for utilizing all valid moment conditions. However, we have found that such methods will not always provide valid inference and can also be improved upon in terms of finite-sample regression parameter estimation. Therefore, we propose a modified GEE approach and a selection method that will both ensure the validity of inference and improve regression parameter estimation. In addition, these modified approaches assume the data analyst knows the type of time-dependent covariate, although this likely is not the case in practice. Whereas hypothesis testing has been used to determine covariate type, we propose a novel strategy to select a working covariate type in order to avoid potentially high type II error rates with these hypothesis testing procedures. Parameter estimates resulting from our proposed method are consistent and have overall improved mean squared error relative to hypothesis testing approaches. Finally, for some real-world examples the use of mean regression models may be sensitive to skewness and outliers in the data. Therefore, we extend our approaches from their use with marginal quantile regression to modeling the conditional quantiles of the response variable. Existing and proposed methods are compared in simulation studies and application examples.

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Shepherdson, Robyn, Jennifer Funderburk, Nadiya Sunderji, Nadiya Sunderji, and Jodi Polaha. "Program Evaluation Intensive: Practical Training in Selecting Measures and Data Collection Methods to Obtain Useful Outcome Data." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/6546.

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Do you need help determining appropriate measures and feasible data collection methods for program evaluations within integrated primary care? In this 3-hour preconference workshop, leaders from CFHA’s Research & Evaluation Committee and Families, Systems, & Health journal will provide practical training in conducting rigorous program evaluations. This workshop will help you identify appropriate measures to answer your key questions as well as data collection methods that balance quality and feasibility. This workshop is designed for those who are planning, conducting, or revising a program evaluation, as attendees will apply the material to their own personal projects within interactive small groups.

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Blair, Mariana Pamela. "Music for the ballet class: a theoretical approach to selecting and structuring music using pastiche arranging methods." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406634152.

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Nyarambi, Arnold. "The Utility of Function-Based Intervention Decision Model (FBIDM) in Selecting an Appropriate Behavioral Intervention Method(s)." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/8267.

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Machado, Thais Cristina Sampaio. "Towards aided by multicriteria support methods and software development: a hybrid model of verbal decision analysis for selecting approaches of project management." Universidade de Fortaleza, 2012. http://dspace.unifor.br/handle/tede/89610.

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Made available in DSpace on 2019-03-29T23:39:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-07-19
The decision may be defined as a result of a process of choice, given an identified problem or when the decision maker faces an opportunity of creation, optimization or improvement in an environment. Frequently, problems are preferentially stated and analyzed in a qualitative way, not in quantitative aspect. I.e., most decision making problems can be qualitatively described. Verbal Decision Analysis (VDA) Framework is a set of methods defined to support the decision making process by the verbal representation of problems. The ORCLASS System (Ordinal Classification) belongs to VDA Framework. It consists at classifying alternatives, which means the prescription of alternatives into particular classes or groups. However, there was still never been developed a software that reproduces its application. This work presents a tool developed as a support to the process of Verbal Decision Analysis, aiming at the processing of a complete result of System ORCLASS to the decision maker. The work intends to provide an evaluation of Project Management approaches applied in the Software Development and examine them toward to identify which are the most preferable ones, aided by the application of a hybrid model of decision making. The hybrid model aims at classifying alternatives using ORCLASS method, through the developed software, and ranking them using a Verbal Decision Analysis method (ZAPROS-IIIi). Afterward, Specific Practices (SP) of Capability Maturity Model Integration (CMMI) level 2 were chosen, and approaches to attend the SP's were ranked from the most preferable to the least preferable ones, aiming to help enterprises which are not able to reach a complete CMMI qualification. Keywords: Decision Making, Verbal Decision Analysis, ORCLASS method, Project Management, ZAPROS method, Specific Practices, Capability Maturity Model Integration.
Uma decisão pode ser definida como o resulta de um processo de escolha, dado um determinado problema ou quando um decisor depara-se com uma oportunidade de criação, otimização ou melhoria dentro de um ambiente. Frequentemente, problemas são preferencialmente definidos e analisados de forma qualitative, não com aspecto quantitativo. Isto é, a maioria dos problemas para tomada de decisão podem ser descritos qualitativamente. O Framework de Análise Verbal de Decisão (AVD) é um conjunto de metodos definidos para dar suporte ao processo de tomada de decisão, através de uma representação verbal dos problemas. O sistema ORCLASS (Classificação Ordinal), pertence ao Framework de Análise Verbal de Decisão. Ele consiste em classificar alternativas, o que significa a divião de alternativas dentre determinadas classes ou grupos. No entanto, ainda não havia sido desenvolvida um software que reproduza sua aplicação. Este trabalho apresenta uma ferramenta desenvolvida para dar suporte ao processo de Análise Verbal de Decisão, com objetivo de processar um resultado completo do sistema ORCLASS para o decisor. O trabalho tem a intensão de fornecer uma avaliação das abordagens de Gerência de Projetos aplicadas nas empresas de desenvolvimento de software e analisá-las afim de identificar quais as mais preferíveis, auxiliadas pela aplicação de um modelo híbrido de tomada de decisão. O modelo híbrido classifica alternativas usando o método ORCLASS, através do software desenvolvido, e as ordena usando um método de Análise Verbal de Decisão de ordenação (ZAPROS-IIIi). Ao final, Práticas Específicas (PS) do Modelo Integrado de Maturidade de Capacidade (CMMI) nível 2 foram selecionados a serem aplicados em Empresas, e abordagens para atender às PSs foram ordenadas das mais preferíveis para as menos preferíveis, com objetivo de ajudar empresas que não teriam estrutura para atingir uma certificação completa de CMMI. Palavras-chave: Tomada de Decisão, Análise Verbal de Decisão, método ORCLASS, Gerência de Projetos, método ZAPROS, Práticas Específicas, Modelo Integrado de Maturidade de Capacidade.

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Stevenson, Colin. "An evaluation of the available methods of selecting a contractor, in order to satisfy the client's objectives, with a view to offering a systematic approach to which method should be adopted." Bachelor's thesis, University of Cape Town, 1986. http://hdl.handle.net/11427/28247.

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Although the client's objectives of balancing cost, time and performance have not changed, the complexity of the design and construction of modern buildings today requires a thorough understanding of the factors affecting these objectives if they are to be accomplished. This study therefore begins by analysing the client's objectives to establish the factors affecting each objective and to determine the inter-relationship and possible conflict between these factors. The principal types of contracts and methods of selecting a contractor are then identified. The methods of selecting a contractor are then evaluated according to these factors and their effects on the client's objectives are established. This evaluation is then used as the basis for recommending a procedure to choose which method should be used to select a contractor, in order to accomplish the client's objectives, under differing circumstances.

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Von, Lorne von Saint Ange Chantel. "Integration of ranking and selection methods with the multi-objective optimisation cross-entropy method." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97072.

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Thesis (MEng)--Stellenbosch University, 2015.
ENGLISH ABSTRACT: A method for multi-objective optimisation using the cross-entropy method (MOO CEM) was recently developed by Bekker & Aldrich (2010) and Bekker (2012). The method aims to identify the nondominated solutions of multi-objective problems, which are often dynamic and stochastic. The method does not use a statistical ranking and selection technique to account for the stochastic nature of the problems it solves. The research in this thesis aims to investigate possible techniques that can be incorporated into the MOO CEM. The cross-entropy method for single-objective optimisation is studied first. It is applied to an interesting problem in the soil sciences and water management domain. The purpose of this was for the researcher to grasp the fundamentals of the cross-entropy method, which will be needed later in the study. The second part of the study documents an overview of multi-objective ranking and selection methods found in literature. The first method covered is the multi-objective optimal computing budget allocation algorithm. The second method extends upon the first to include the concept of an indifference-zone. Both methods aim to maximise the probability of correctly selecting the non-dominated scenarios, while intelligently allocating simulation replications to minimise required sample sizes. These techniques are applied to two problems that are represented by simulation models, namely the buffer allocation problem and a classic single-commodity inventory problem. Performance is measured using the hyperarea indicator and Mann-Whitney U-tests. It was found that the two techniques have significantly different performances, although this could be due to the different number of solutions in the Pareto set. In the third part of the document, the aforementioned multi-objective ranking and selection techniques are incorporated into the MOO CEM. Once again, the buffer allocation problem and the inventory problem were chosen as test problems. The results were compared to experiments where the MOO CEM without ranking and selection was used. Results show that the MOO CEM with ranking and selection has various affects on different problems. Investigating the possibility of incorporating ranking and selection differently in the MOO CEM is recommended as future research. Additionally, the combined algorithm should be tested on more stochastic problems.
AFRIKAANSE OPSOMMING: 'n Metode vir meerdoelige optimering wat gebruik maak van die kruisentropie- metode (MOO CEM) is onlangs deur Bekker & Aldrich (2010) en Bekker (2012) ontwikkel. Die metode mik om die nie-gedomineerde oplossings van meerdoelige probleme te identifiseer, wat dikwels dinamies en stogasties is. Die metode maak nie gebruik van 'n statistiese orden-en-kies tegniek om die stogastiese aard van die problem aan te spreek nie. Die navorsing in hierdie tesis poog om moontlike tegnieke wat in die MOO CEM opgeneem kan word, te ondersoek. Die kruis-entropie-metode vir enkeldoelwit optimering is eerste bestudeer. Dit is toegepas op 'n interessante probleem in die grondwetenskappe en waterbestuur domein. Die doel hiervan was om die navorser die grondbeginsels van die kruis-entropie metode te help verstaan, wat later in die studie benodig sal word. Die tweede gedeelte van die studie verskaf 'n oorsig van meerdoelige orden-en-kies metodes wat in die literatuur aangetref word. Die eerste metode wat bespreek word, is die optimale toedeling van rekenaarbegroting vir multi-doelwit optimering algoritme. Die tweede metode brei uit oor die eerste metode wat die konsep van 'n neutrale sone insluit. Beide metodes streef daarna om die waarskynlikheid dat die nie-gedomineerde oplossings korrek gekies word te maksimeer, terwyl dit ook steekproefgroottes probeer minimeer deur die aantal simulasieherhalings intelligent toe te ken. Hierdie tegnieke word toegepas op twee probleme wat verteenwoordig word deur simulasiemodelle, naamlik die buffer-toedelingsprobleem en 'n klassieke enkelitem voorraadprobleem. Die prestasie van die algoritmes word deur middel van die hiperarea-aanwyser en Mann Whitney U-toetse gemeet. Daar is gevind dat die twee tegnieke aansienlik verskillend presteer, alhoewel dit as gevolg van die verskillende aantal oplossings in die Pareto versameling kan wees. In die derde gedeelte van die dokument, is die bogenoemde meerdoelige orden-en-kies tegnieke in die MOO CEM geïnkorporeer. Weereens is die buffer-toedelingsprobleem en die voorraadprobleem as toetsprobleme gekies. Die resultate was met die eksperimente waar die MOO CEM sonder orden-en-kies gebruik is, vergelyk. Resultate toon dat vir verskillende probleme, tree die MOO CEM met orden-en-kies anders op. 'n Ondersoek oor 'n alternatiewe manier om orden-en-kies met die MOO CEM te integreer is as toekomstige navorsing voorgestel. Bykomend moet die gekombineerde algoritme op meer stogastiese probleme getoets word.

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Matznerová, Silvie. "Návrh AC jako účinného nástroje personálního výběru v podniku ABC, s r.o." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-221822.

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This work is aimed at the problems of finding and selecting employees through the application of the latest knowledge and approach of staff selection. From the knowledge gained it suggests a possible method of choosing employees in the company, ABC Ltd. for the position of a dealer.

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Cheng, Iunniang. "Hybrid Methods for Feature Selection." TopSCHOLAR®, 2013. http://digitalcommons.wku.edu/theses/1244.

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Feature selection is one of the important data preprocessing steps in data mining. The feature selection problem involves finding a feature subset such that a classification model built only with this subset would have better predictive accuracy than model built with a complete set of features. In this study, we propose two hybrid methods for feature selection. The best features are selected through either the hybrid methods or existing feature selection methods. Next, the reduced dataset is used to build classification models using five classifiers. The classification accuracy was evaluated in terms of the area under the Receiver Operating Characteristic (ROC) curve (AUC) performance metric. The proposed methods have been shown empirically to improve the performance of existing feature selection methods.

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Mullins, Stephen T. "New methods for selective fluorination." Thesis, Durham University, 1986. http://etheses.dur.ac.uk/7056/.

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New methods have been developed for the selective introduction of fluorine into benzenoid aromatic compounds involving the cleavage of aryl-metal bonds by various ‘electrophilic’ fluorinating agents. Cleavage of aryl-metal bonds has been achieved using trifluoromethyl hypofluorite (CF(_3)OF), caesium fluoroxysulphate (CsSO(_4)F) and elemental fluorine and, by the nature of the process, is regiospecific. Attempts have been made to extend this method to the introduction of fluorine into imidazole bases with some success. This approach has involved the synthesis of trialkylstannyl derivatives of several benzene derivatives and trimethylstannyl derivatives of 1,2-dimethylimidazole and N-methylimidazole. Prior to our attempts at selective introduction of fluorine into the sugar ring of 5-amino-l-(β-D-ribofuranosyl) imidazole-4-carboxamide (AICAR) a series of protection and selective deprotection reactions on the nucleoside were carried out and trifluoromethane sulphonate ester derivatives of the protected nucleoside were synthesized. Fluoride ion displacement of the trifluoromethane sulphonate group to give a fluorosugar has been attempted.

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You, Di. "Model Selection in Kernel Methods." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322581224.

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Ferreira, Pedro Miguel Barreirão. "Diversification and portfolio selection methods." Master's thesis, Instituto Superior de Economia e Gestão, 2010. http://hdl.handle.net/10400.5/2227.

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Mestrado em Finanças
This paper studies several portfolio selection methods in order to achieve higher returns and lower risk than the market. The main objective of this paper is to conclude if it is possible to achieve higher returns and lower risk than the market using only daily close stocks price data. It is important however, to know how the number of assets affects the risk of portfolio (benefits of diversification). Therefore, in the early stage, the impact of the introduction of stocks in the portfolio in terms of risk will be analyzed in order to choose a minimum number of stocks to maximize the benefits of diversification. Several techniques of portfolio selection (optimal portfolio, minimum variance and equal weights) are tested in order to achieve higher returns and lower risk levels than the sectors indexes. The benefits of diversification can be achieved with few stocks. This is the first conclusion of this paper that allows a reduction of the cost of transactions in the techniques used. Some of the portfolio selection methods in this paper achieved quite good results, revealed better performance than the index markets over the ten year period. However the best technique isn't equal to all sectors, there are slight differences between the best techniques among sectors.
Este trabalho estuda diversos métodos de selecção de carteiras de forma a obter maiores retornos e menor risco que o mercado. O principal objectivo é obter maiores rendibilidades e menores níveis de risco que o mercado usando apenas os preços das acções. Contudo, é importante saber como o número de activos afecta o risco de uma carteira (benefícios da diversificação). Portanto, numa primeira fase, será analisado o impacto da introdução de activos numa carteira em termos de risco, para escolher um número mínimo de acções para constituir uma carteira maximizando o benefício da diversificação. Diversas técnicas de selecção de carteiras (carteira óptima, variância mínima e pesos iguais) são testadas de forma a obter maiores retornos e menores nível de risco que o índice sectorial. Os benefícios da diversificação podem ser atingidos com poucas acções. Esta foi a primeira conclusão, que permitiu a redução dos custos de transacção nas técnicas utilizadas. Alguns métodos de selecção de carteiras estudados obtiveram bons resultados, revelando melhor performance que o índice de mercado ao longo dos dez anos. Contudo, a melhor técnica não é igual para todos os sectores, existem ligeiras diferenças entre as melhores técnicas entre os sectores.

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Yelchuru, Ramprasad. "Quantitative methods for controlled variables selection." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for kjemisk prosessteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-17539.

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Optimal operation is important to improve productivity to be more competitive, and therefore, increase profitability. Optimal operation can be viewed to constitute the control layer (supervisory layer plus regulatory layer) and optimization layer in the hierarchical decomposition of plantwide control. The task of control layer is to keep controlled variables at given set points and the task of optimization layer is to provide optimal set points. For simple implementation, we want to update the set points less frequently while obtaining an acceptable loss in the presence of disturbances. This can be achieved by appropriate controlled variables selection and keeping them at constant set points. This approach is termed as “self-optimizing control” as this approach automatically lead the operation close to optimal operation. Physically, in self-optimizing control, the selected controlled variables can be seen as the set of variables whose optimal values are insensitive to disturbances and controlling these (at constant set point) would reduce the need for frequent set point updates. The selected controlled variables obtained in “self-optimizing control” link the optimization layer and the control layer. Self-optimizing control provides a mathematical framework and we use this framework to select the controlled variables c as linear combinations of measurements y, c = Hy, with the aim to minimize the steady state loss from optimal operation. In “self-optimizing control”, we keep the controlled variables c at constant set points using feedback, and this feedback introduces implementation errors. The focus of this thesis is to devise systematic and good methods to arrive at controlled variables by finding optimal H that minimize the steady state loss of optimality in the presence of both disturbances and implementation errors. There are three main contributions in this thesis. The first contribution is to provide (i) a convex formulation to find the optimal combination matrix H for a given measurement set, and (ii) a Mixed-Integer Quadratic Programming (MIQP) methodology to select optimal measurement subsets that result in minimal steady state loss in the presence of disturbances. The methods provided in this thesis are exact for quadratic problems with linear measurement relations. The MIQP methods can handle additional structural constraints compared to the Branch and Bound (BAB) methods reported in literature for these problems. The MIQP methods are evaluated on a toy example, an evaporator example, a binary distillation column example with 41 stages and a Kaibel column example with 71 stages. Second contribution is to develop convex approximation methods that incorporate structural constraints to improve the dynamic controllability properties, such as fast response, control loop localization and to reduce time delays between the manipulated variables (u) and the controlled variables (c). For these cases, H is structured, for example, decentralized H or triangular H. The decentralized H is to obtain c as combination of measurements of a individual process unit. These structured H cases in self-optimizing control are non-convex. Hence, we propose a few new ideas and convex approximation methods to obtain good upper bounds for these structured H problems. The proposed methods are evaluated on random cases, an evaporator case study and a binary distillation column case study with 41 stages. Third contribution is to extend the self-optimizing control ideas to find optimal controlled variables in the regulatory layer. The regulatory layer is designed to facilitate stable operation, to regulate and to keep the operation in the linear operating range. The regulatory layer performance is quantified using the state drift criterion. Quantitative method for the regulatory layer selection with one, two or more closed loops is proposed to minimize the drift in states. The proposed quantitative methods are evaluated on a distillation column with 41 stages and a Kaibel column with 71 stages case studies. To summarize, in self-optimizing control, for selecting the controlled variables c as linear combinations of measurements y, c = Hy, (a) we developed MIQP methods that belong to a convex sub class to find globally optimal H and optimal measurement subsets; (b) we developed convex approximation methods to find good upper bounds to find optimal decentralized/triangular H and optimal measurement subsets; (c) we extended the self-optimizing control concepts to find c in the regulatory layer and proposed a quantitative method that minimizes the state drift to arrive at optimal regulatory layer with 1, 2 or more closed loops. In conclusion, we developed quantitative methods for controlled variables selection in both supervisory layer and regulatory control layer. We demonstrated the developed methods on a few representative case studies.

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Humphrys, Mark. "Action selection methods using reinforcement learning." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/252269.

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The Action Selection problem is the problem of run-time choice between conflicting and heterogeneous goals, a central problem in the simulation of whole creatures (as opposed to the solution of isolated uninterrupted tasks). This thesis argues that Reinforcement Learning has been overlooked in the solution of the Action Selection problem. Considering a decentralised model of mind, with internal tension and competition between selfish behaviors, this thesis introduces an algorithm called "W-learning", whereby different parts of the mind modify their behavior based on whether or not they are succeeding in getting the body to execute their actions. This thesis sets W-learning in context among the different ways of exploiting Reinforcement Learning numbers for the purposes of Action Selection. It is a 'Minimize the Worst Unhappiness' strategy. The different methods are tested and their strengths and weaknesses analysed in an artificial world.

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徐兆邦 and Shiu-bong Chui. "Estimation methods for rank data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222535.

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Chui, Shiu-bong. "Estimation methods for rank data /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21415110.

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Sandgren, Niclas. "Parametric methods for frequency-selective MR spectroscopy /." Uppsala : Univ. : Dept. of Information Technology, Univ, 2004. http://www.it.uu.se/research/reports/lic/2004-001/.

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Flood, Ian. "Graph theoretic methods for radio equipment selection." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/50910/.

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In the 1970s and 1980s, a small group of American engineers recognised the importance of the graph-colouring ideas studied by mathematicians and the potential for these ideas to be used in practical radio frequency assignment procedures. Some groundbreaking work led to a long period of study in academia where many variants on the Frequency Assignment Problem have been considered and some advanced algorithms developed. This thesis has investigated the Frequency Assignment Problem for microwave fixed links and, taking account of the constraints experienced in professional practice, extended this to include the problem of Equipment Selection. For a particular data-rate, standard radio equipment using relatively lower-or higher order modulation schemes can be deployed by the fixed link operator. While the higher-order options use less bandwidth, they radiate at higher powers and require more protection in the radio interference environment. That is, they are more potent interferers and present a greater challenge to distant interferers. Therefore, when the assigner’s objective is to minimise the span of frequencies used by a network, the higher-order modulation radio is not always the most spectrally efficient. The thesis has hypothesised that by doubling the bandwidth requirement on selected links, the assigner can actually reduce the overall span of frequencies used to support a frequency assignment for the entire network. With a minimum span objective, fixed link deployment scenarios have been exposed to a standard IP Solver that gives exact solutions. Using graph-theoretic methods, equipment selection heuristics have been developed and tested in offline and online environments. This work has gathered significant evidence in support of the hypothesis.

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Veerappa, V. "Clustering methods for requirements selection and optimisation." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1386661/.

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Decisions about which features to include in a new system or the next release of an existing one are critical to the success of software products. Such decisions should be informed by the needs of the users and stakeholders. But how can we make such decisions when the number of potential features and the number of individual stakeholders are very large? This problem is particularly important when stakeholders’ needs are gathered online through the use of discussion forums and web-based feature request management systems. Existing requirements decision-making techniques are not adequate in this context because they do not scale well to such large numbers of feature requests or stakeholders. This thesis addresses this problem by presenting and evaluating clustering methods to facilitate requirements selection and optimization when requirements preferences are elicited from a very large number of stakeholders. Firstly, it presents a novel method for identifying groups of stakeholders with similar preferences for requirements. It computes the representative preferences for the resulting groups and provides additional insights in trends and divergences in stakeholders’ preferences which may be used to aid the decision making process. Secondly, it presents a method to help decision-makers identify key similarities and differences among large sets of optimal design decisions. The benefits of these techniques are demonstrated on two real-life projects - one concerned with selecting features for mobile phones and the other concerned with selecting requirements for a rights and access management system.

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Tyrrell, Simon. "Random and rational methods for compound selection." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370002.

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Li, Kaiqiao. "Statistical Methods for High Dimensional Variable Selection." Thesis, State University of New York at Stony Brook, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13427291.

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This thesis focuses on high dimensional variable selection and addresses the limitation of existing penalized likelihood-based prediction models, as well as multiple hypothesis testing issues in jump detection. In the first project, we proposed a weighted sparse network learning method which allows users to first estimate a data driven network with sparsity property. The estimated network is then optimally combined using a weighted approach to a known or partially known network structure. We adapted the ℓ₁ penalties and proved the oracle property of our proposed model which aims to improve the accuracy of parameter estimation and achieves a parsimonious model in high dimensional setting. We further implemented a stability selection method for tuning the parameters and compared its performance to the cross-validation approach. We implemented our proposed framework for several generalized linear models including the Gaussian, logistic, and Cox proportional hazards (partial) models. We carried out extensive Monte Carlo simulations and compared the performance of our proposed model to the existing methods. Results showed that in the absence of prior information for constructing known network, our approach showed significant improvement over the elastic net models using data driven estimated network structure. On the other hand, if the prior network is correctly specified in advance, our prediction model significantly outperformed other methods. Results further showed that our proposed method is robust to network misspecification and the ℓ₁ penalty improves the prediction and variable selection regardless of the magnitude of the effects size. We also found that the stability selection method achieved a more robust parameter tuning results compared to the cross-validation approach, for all three phenotypes (continuous, binary and survival) considered in our simulation studies. Case studies on proteomic ovarian cancer and gene expression skin cutaneous melanoma further demonstrated that our proposed model achieved good operating characteristics in predicting response to platinum-based chemotherapy and survival risk. We further extended our work in statistical predictive learning in nonlinear prediction, where the traditional generalized linear models are insufficient. Nonlinear methods such as kernel methods show a great power in mapping the nonlinear space to a linear space, which can be easily incorporated into generalized linear models. This thesis demonstrated how to apply multiple kernel tricks to generalized linear model. Results from simulation shows that our proposed multiple kernel learning method can successfully identify the nonlinear likelihood functions under various scenarios.

The second project concerns jump detection in high frequency financial data. Nonparametric tests are popular and efficient methods for detecting jumps in high frequency financial data. Each method has its own advantageous and disadvantageous and their performance could be affected by the underlying noise and dynamic structure. To address this, we proposed a robust p-values pooling method which aims to combine the advantages of each method. We focus on model validation within a Monte Carlo framework to assess the reproducibility and false discovery rate. Reproducible analysis via correspondence curve and irreproducible discovery rate were analyzed with replicates to study local dependency and robustness across replicates. Extensive simulation studies of high frequency trading data at the minute level were carried out and the operating characteristics of these methods were compared via the false discovery rate control (FDR) framework. Our proposed method was robust across all scenario under reproducibility and FDR analysis. Finally, we applied the method to minute level data from the Limit Order Book System—the Efficient Reconstruction System (LOBSTER). An R package JumpTest implementing these methods is made available on the Comprehensive R Archive Network (CRAN).

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Sudaviciute, Simona. "Attitudes towards personnel selection methods in Lithuanian and Swedish samples." Thesis, Växjö University, School of Social Sciences, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-2193.

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Candidates’ attitudes towards various personnel selection methods get attention of organizational and work psychology specialists because of various reasons. The most important reason is that individuals’ attitudes towards personnel selection methods influence their latter behavior. Although there is a substantial amount of studies carried out in different countries, there is no data from Lithuanian and Swedish samples. The aim of current study was to analyze the attitudes towards personnel selection methods among Lithuanian students, Lithuanian employees and Swedish students. The participants (197 students and 86 employees) filled in a questionnaire, which includes short descriptions of 10 personnel selection methods as well as items about fairness of these methods. According to the results of the study, work-sample tests were ranked as the fairest personnel selection method in the Lithuanian sample. The fairest personnel selection methods in Swedish sample were work-sample tests, interview, resumes, and personal references. Lithuanian students ranked the fairness of written ability test and honesty test more favorably than Swedish students, but Swedish students tended to rank as more favorable interview, resumes, personal references and personal contacts. Personal contacts and graphology were ranked the lowest on fairness dimension in Lithuanian sample, and Swedes ranked only graphology as the least fair personnel selection method. Lithuanian employees ranked personal references, personal contacts and graphology more favorably than Lithuanian students. In Lithuanian students sample, perception of personnel selection method as a scientifically proved, logic and precise or providing an opportunity to show one’s skills, had the strongest connection with favorability ranking of personnel selection method’s fairness. In the Lithuanian employees and the Swedish students samples, perception of the method as logic or providing an opportunity to show one’s skills, had the strongest link with fairness.

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Liu, Yushi. "Properties of the SCOOP Method of Selecting Gene Sets." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1280163360.

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Ramsay, Mark J. "Comparing Five Empirical Biodata Scoring Methods for Personnel Selection." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3220/.

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A biodata based personnel selection measure was created to improve the retention rate of Catalog Telemarketing Representatives at a major U.S. retail company. Five separate empirical biodata scoring methods were compared to examine their usefulness in predicting retention and reducing adverse impact. The Mean Standardized Criterion Method, the Option Criterion Correlation Method, Horizontal Percentage Method, Vertical Percentage Method, and Weighted Application Blank Method using England's (1971) Assigned Weights were employed. The study showed that when using generalizable biodata items, all methods, except the Weighted Application Blank Method, were similar in their ability to discriminate between low and high retention employees and produced similar low adverse impact effects. The Weighted Application Blank Method did not discriminate between the low and high retention employees.

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Fernanda, P. M. "Instrument Selection in Econometric Models Consequences and Methods." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528389.

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Guo, Lei. "Bayesian Biclustering on Discrete Data: Variable Selection Methods." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11201.

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Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects. As opposed to classical clustering methods, biclustering groups objects that are similar only on a subset of variables. Many biclustering algorithms on continuous data have emerged over the last decade. In this dissertation, we will focus on two Bayesian biclustering algorithms we developed for discrete data, more specifically categorical data and ordinal data.
Statistics

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36

Cao, Qun. "Developing sustainable catalytic methods for selective oxidation reactions." Thesis, Queen's University Belfast, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.705655.

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This project has investigated industrially applicable oxidation catalysis to produce nitriles and carbonyl compounds using molecular oxygen/H2O2 as oxidants. This project can be split into three subprojects: (1) A novel Cu/TEMPO-catalyzed aerobic oxidation method has been developed for the synthesis of nitriles from alcohols or aldehydes using aqueous ammonia as N source. This method showed wide substrate scope (aliphatic and aromatic aldehydes and aliphatic alcohols) with the use of standard glassware (10 mol% Cu(OTf)2). When reactions were carried out using reactors,cheaper catalyst (CuCI2) and lower catalyst loading (1 mol%) could be applied. (2) Ligated Pd(II) complexes have been studied for the catalytic oxidation of terminal olefins to their corresponding methyl ketones. The method uses aqueous hydrogen peroxide as the terminal oxidant; a sustainable and readily accessible oxidant. The choice of ligand, counterion and solvent all have a significant effect on catalytic performance and we were able to develop systems which perform well for these challenging oxidations. (3) A homogeneous Pd(II) catalyst utilizing a simple and inexpensive amine ligand (TMEDA) allows 2-alkynoates to be prepared in high yields via an oxidative carbonylation of terminal alkynes and alcohols. The catalyst system overcomes many of the limitations of previous palladium carbonylation catalysts. It has an increased substrate scope, avoids large excesses of substrate and uses a desirable solvent. The catalyst employs oxygen as the terminal oxidant and this can be operated under safer gas mixtures.

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Al-Hammad, Ibrahim A. "A knowledge-based framework for construction methods selection." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30793.

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The objectives of this thesis are to investigate, formulate, and structure the problem of methods selection, and apply a Knowledge-Based Expert System (KBES) approach. A complete, conceptual KBES framework for the methods selection problem is proposed and selected aspects of it were implemented using NExpert Object. Defined hierarchically, a conceptual method frame consists of the following attributes: design element, construction strategy, construction resources, and construction process model. The roles of the KBES control strategy are to first specify a method and then rank it versus others. In so doing, the control strategy is applied at two levels: a preliminary feasibility level, and a detailed feasibility level. The former is used to reduce the number of available methods and rank them for processing by the latter. The preliminary feasibility part constitutes declarative knowledge with high level premises. The detailed feasibility level, develops the attributes of the method. This component contains empirical, analytical, and procedural knowledge that draws on the civil engineering knowledge domains of design, analysis and construction. Because the notion of a frame is a useful way of identifying the attributes of a construction method, a conceptual frame is used throughout to demonstrate the build-up of the method attributes through preliminary, then detailed feasibility. An expert system called CMSA (Construction Methods Selection Assistant) was developed to implement a subset of the proposed solution approach with Cut-and-Cover tunnelling as the problem domain. CMSA, as designed, constitutes a methods selection shell that can be applied to other domains. It entails a solution paradigm of Suggest, Design, Predict, and Analyze operators. CMSA incorporates previous experience (shallow knowledge) as well as algorithmic procedures (deep knowledge). Key elements central to CMSA knowledge base include risk, design technical feasibility, resources compatibility, cost and time performance measures, and regulatory constraints. Allowance is made for modelling project context variables. A range of geotechnical conditions were treated for the example problem domain. The KBES framework proposed for the methods selection problem shows promise for tackling this ill-structured problem, helping to organize site experience, and contributing to productivity improvement.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate

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Hagman, Hans. "Mutation Testing : A comparison of mutation selection methods." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6569.

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Software is all around us in our lives in the industrialized world, and we as a society and individuals need it to function correctly. Software testing fills the role of performing behavior audits, to guide the correction of the software to its intended behavior. The consequences of faulty software can range to the late arrival of trains, to nuclear meltdowns. This places quality requirements on the software of various levels. Program based mutation testing provides a high level of faultfinding capability. It does this by injecting many synthetic faults into the code under test, as described by mutation operators. These faults are used to search for testcases that would identify such faults, and consequently find real faults that the synthetic faults mimic. However, mutation testing is costly on three accounts; each mutant of the original code is compiled, each mutant should ideally have an associated testcase to reveal that fault the mutant contains, finally the testcases are analyzed thoroughly by looking the output of the original and mutants to reveal the error in behavior. In order to reduce cost while maintaining a high level of faultfinding, selective mutation testing is investigated, it uses a subset of all the available mutation operators. The investigation found that using Absolute value-, and Relational operator-, mutation reduces cost of mutation testing by 80%, while uncovering 83% of the injected faults.

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Lu, Chi-hsien, and 魯基賢. "IC manufactory selecting wafer manufacturers by Fuzzy Multiple Criteria Methods." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/97548440908053258079.

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碩士
雲林科技大學
資訊管理系碩士班
97
The development of Taiwan’s semiconductor industry mainly regards the horizontal segmentation style as industrial system, allowing the industry to have greater flexibility, fast responding ability, and lower investment risk. However, for the development of IC manufacturing industry so far, after companies have experienced such enterprise activities as withdrawal, looking for alliance, and merging, the industry has already faced the destiny of forming an alliance to fight for business, the industry competition will only be more intense. Under the environment of specialized segmentation style and high industry competition, IC manufacturers need to rely on the integration of upstream and downstream industries; thus, this thesis focuses on the discussion about the factors that IC manufacturers need to consider when choosing wafer suppliers. First of all, 13 factors have been sorted through the information from documents and the comparison of IC manufacturers’ internal selection criteria; and then through the interviews with three wafer industry experts, seven factors that are tally with what IC manufacturers emphasized are selected. 3 to 10 questions are used by each factor to weigh the degree of importance that IC manufacturing industry has. Through the design and evaluation of expert questionnaire, the questionnaire distributing objects are set, including the managers from seven specialized IC manufacturers. And then, Fuzzy Delphi Method is used to establish the selection criteria that wafer companies have for wafer suppliers. After that, Fuzzy Analytic Hierarchy Process is used to decide the weight of each criterion and establish wafer suppliers’ selection model, so as to discuss the difference that IC manufacturers have towards the importance of selection factors.

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Tsai, Ching-Feng, and 蔡慶鋒. "Players Selecting Online Games By Using Fuzzy Multi Criteria Methods." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/56381175897571907057.

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碩士
雲林科技大學
資訊管理系碩士班
98
With the prevalence and development of Internet, online games have become a popular industry at present. Various types of games are available in the market, and online game companies are continuing to develop new games. The online games market in Taiwan is also very mature. With advanced technology, more people play online games and treat them as one of the online entertainments. At present, most online games are developed by foreign companies, thus, the agents in Taiwan are not authorized to change or enhance the content, structure and display of the games. The support and enhancement from the agents in Taiwan for the players are service quality, system quality and information content. Therefore, this study focuses on the online game players how to selection of online games, e.g. game design elements （animation, sound, etc. ） and information systems（system quality, information quality, service quality) of players’ selection of online game by Fuzzy Multiple Criteria method. The findings can serve as reference to the operation of online game companies in Taiwan.

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Lee, Chii-Chyuan, and 李啟全. "Decision Support System for Selecting Automated Construction Methods Using Multimedia." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/17402909684282452295.

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碩士
國立臺灣科技大學
營建工程技術學系
82
To assist construction management in selecting proper construction equipment, as well as, deciding a profitable level of automation, a decision support system is proposed in this research using multimedia. A structured system approach is applied in the process of identifying attributes concerning automated construction methods and equipment. The proposed system consists of a comprehensive database for different types of construction equipment and analytic models to help management in evaluating pr ofitability for each construction method under a given set of conditions.

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BAI, SHENG-SHUN, and 白聖舜. "Methods of selecting the better of two independent binomial populations." Thesis, 1989. http://ndltd.ncl.edu.tw/handle/05485393905299098394.

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HUANG, LI-YUAN, and 黃荔元. "The applications of expert system in selecting environment impact assessment methods." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/49550960011358781792.

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44

Peng, Chih-Yen, and 彭智彥. "A Study on Tendering Methods of Selecting Architects for Public Schools." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69965602988401958127.

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碩士
中華大學
土木與工程資訊學系(所)
98
Abstract Government Procurement Act has been officially promulgated and implemented on May 27th, 1999, its original intention was to open the free market, improve our national competitiveness, to be the integrated law that governed governmental procurement, and to conform to the principle of non-discrimination and the fair and equitable treatment to member countries in WTO and GPA, as well as to serve as the basis of integration promotion. Among which, with the service experiences for many years the author has proposed the study on exploring the selection of “tender methods” for recruiting architects. In recent years, the architectural planning and design has been categorized into the “heterogeneous” most advantageous tender, most architectural procurement has been handled by the “restricted tender”, and other tendering methods were seldom applied in principle. Since Government’s strict investigation on the restricted selection methods, even related regulations have been relaxed, the competent authorities still follow the previous patterns; therefore, it has resulted in implementing contradiction or repetition in the process, and further to affect architects’ willingness of tender. In addition, the technical service is belonged to the category of “labor purchasing” in Government Procurement Act, and its purchasing method can be divided into these following types: “open tender”, “restricted tender” and “selected tender”. How the organizing authority to select the optimal and fair tendering method and attract architects to place their tender? In this study, the author is adopted methods of collecting data of related literature, expert interview and questionnaire to analyze, explore, organize, generalize and classify the data, and then proposed the following conclusions. I. Human Factors 1. Not fully known well about the information of tendering strategy. 2. Tender decision has been determined in accordance with previous patterns without making detailed evaluation. 3. Not yet established the group evaluation and consideration. 4. It needs to set the qualification standard with considering the professional competence for architects. 5. Procurement personnel has insufficient experiences II. Legal Factors 1. Complicatedness in the process 2. Tendering methods should be determined by the difficulty in planning design. 3. Unfamiliar to related regulations and laws. However, this study is mainly to explore that, within the legal framework, the organizers can flexibly apply the tendering methods in Government Procurement Act. But, in general, most of them are only adopted the existing patterns with convenient and prompt attitudes and without making any mistake. In addition, it lost the justice principle and also the original intention of the Government Procurement Act; therefore, after explored this study has proposed these abovementioned conclusions and indicated the major suggestions as the reference: (1) restricted tender should be discussed again; (2) service fee is more than NT$100,000 to the amount less than the announced service fee that should be set the ratio of minimum limit or amount; and (3) improved and revised the process of the selected tender. Key words: open tender, restricted tender, selected tender, WTO, GPA, heterogeneity, labor purchasing

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Hsieh, Yu-Chen, and 謝友振. "Random Subspace Methods with Automatic Selecting Parameter based on Kernel Smoothing." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/10699344897558300034.

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碩士
國立臺中教育大學
教育測驗統計研究所
94
In high dimensional data, how to solve small size problem is very important in many research domain. Random Subspace Method is a multiple classifier systems and has been shown that is a good approach to overcome small sample problems. In original Random Subspace Method, classifiers are constructed in the subspaces selected randomly from the original data space and the dimensionality of all subspaces is a fixed number. Then the decisions of base classifiers are usually combined by simple majority voting for the final decision. There is still not an effective way to estimate the best dimensionality of subspace, although it has a great impact on the classification result. In this paper, a weighted random subspace method with automatic subspace dimensionality selection has been proposed for classifying high dimensional data. The dimensionality selection method is based on the importance distribution of dimensionality estimated by kernel smoothing technique during the training process. Two feature weighting methods based on normalized re-substitution accuracy and Fisher’s linear discriminate analysis separability are introduced for improving the original subspace method. Experimental result shows that the proposed algorithm outperforms the original random subspace method.

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Chiang, Che-Wei, and 江哲瑋. "Apply Fuzzy Multiple Criteria Methods to Selecting Application software Service Providers." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/g42fz5.

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碩士
國立雲林科技大學
資訊管理系
106
In the face of faster and faster Internet speeds, software vendors at home and abroad have gradually changed their sales model. That is to say, software application service providers need to adjust their products and sales models to change from the one-time buyout mechanism to the lease model. Substantially subvert changes in the country's procurement model, from the previous ownership of software and the ability to independently choose the software update time point to save the budget, for information personnel, that is, IT management personnel in the management software and the procurement staff is in the use of company funds. It is a big challenge. How the information personnel can be considered in software procurement and can introduce the services provided by the software manufacturers into the company to enhance the internal competitiveness of the company, and how the procurement staff will adjust the original procurement schedule and accounting. This research is based on the information and personnel or procurement of enterprises and school units as the object of study. In terms of its considerations of software procurement, it uses the fuzzy Delphi method to relevant sectors of industry and government (such as Winterthur, Zhengxin Tire, etc.). Experts in the field of convergence, scholars in the school field, etc.) issued expert questionnaires and established guidelines for the selection of software service providers, and then used the Fuzzy Analytic Hierarchy Process to calculate the weights of each criterion to understand the software of the enterprise and the academic community. The selection process of service providers and the establishment of a systematic decision-making process.

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Pilisi, Nicolas. "An Advisory System For Selecting Drilling Technologies and Methods in Tight Gas Reservoirs." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-659.

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The supply and demand situation is crucial for the oil and gas industry during the first half of the 21st century. For the future, we will see two trends going in opposite directions: a decline in discoveries of conventional oil and gas reservoirs and an increase in world energy demand. Therefore, the need to develop and produce unconventional oil and gas resources, which encompass coal-bed methane, gas-shale, tight sands and heavy oil, will be of utmost importance in the coming decades. In the past, large-scale production from tight gas reservoirs occurred only in the U.S. and was boosted by both price incentives and well stimulation technology. A conservative study from Rogner (1997) has shown that tight gas sandstone reservoirs would represent at least over 7,000 trillion cubic feet (Tcf) of natural gas in place worldwide. However, most of the studies such as the ones by the U.S. Geological Survey (U.S.G.S.) and Kuuskraa have focused on assessing the technically recoverable gas resources in the U.S. with numbers ranging between 177 Tcf and 379 Tcf. During the past few decades, gas production from tight sands field developments have taken place all around the world from South America (Argentina), Australia, Asia (China, Indonesia), the Russian Federation, Northern Europe (Germany, Norway) and the Middle East (Oman). However, the U.S. remains the region where the most extensive exploration and production for unconventional gas resources occur. In fact, unconventional gas formations accounted for 43% of natural gas production and tight gas sandstones represented 66% of the total of unconventional resources produced in the U.S. in 2006. As compared to a conventional gas well, a tight gas well will have a very low productivity index and a small drainage area. Therefore, to extract the same amount of natural gas out of the reservoir, many more wells will have to be drilled and stimulated to efficiently develop and produce these reservoirs. Thus, the risk involved is much higher than the development of conventional gas resources and the economics of developing most tight gas reservoirs borders on the margin of profitability. To develop tight gas reservoirs, engineers face complex problems because there is no typical tight gas field. In reality, a wide range of geological and reservoir differences exist for these formations. For instance, a tight gas sandstone reservoir can be shallow or deep, low or high pressure, low or high temperature, bearing continuous (blanket) or lenticular shaped bodies, being naturally fractured, single or multi-layered, and holding contaminants such as CO2 and H2S which all combined increase considerably the complexity of how to drill a well. Since the first tight gas wells were drilled in the 1940's in the U.S., a considerable amount of information has been collected and documented within the industry literature. The main objective of this research project is to develop a computer program dedicated to applying the drilling technologies and methods selection for drilling tight gas sandstone formations that have been documented as best practices in the petroleum literature.

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Yen, Shih-Ting, and 顏士庭. "Apply Fuzzy Multiple Criteria Methods to Selecting Mobile Commerce Cloud Computing Service Providers." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/97180630837520924310.

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碩士
國立雲林科技大學
資訊管理系碩士班
100
The business needs of enterprises for mobile IT services is more than browsing the internet, e-mail checking and surveying mobile devices. Mobile commerce becomes more importance than before. Enterprises understand the importance of control and protection of mobile business applications, and included in the scope of the business management of their overall operations. Enterprises have the ability to effectively manage mobile data, applications and smart devices for business use by selecting the appropriate use of mobile commerce and cloud solutions strategy. Popularization of the Fourth-generation mobile phone standards and smart mobile devices, mobile broadband will drive the development of enterprise mobile commerce cloud opportunities, taking into consideration the needs of enterprise mobile commerce and cloud solutions. In this study, through the comparison of literature, finishing seven dimensions,using the fuzzy Delphi method (Fuzzy Delphi) sent a questionnaire to the mobile commerce cloud computing service principal experts with domain background, selected the criteria 39. Each dimension with 4 to 7 question to measure the weight and the importance of each criteria. Through the design and evaluation of the expert questionnaire,set the basis of the enterprise mobile commerce cloud services supplier selection criteria, and then through the Fuzzy Analytic Hierarchy Process(FAHP), decided that the weight of each criteria and set up the model for selecting mobile commerce cloud computing service providers.

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49

Yang, Tsung-Tse, and 楊宗澤. "An investigation on methods of selecting the better supplier based on the process yield." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/07230493498664874940.

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碩士
逢甲大學
工業工程與系統管理學研究所
98
Process capability indices have been widely used to assess process performance in the manufacturing industry. In particular, the yield index Spk can provide an exact measure on the process yield. The issue of supplier selection has already been investigated based on several process capability indices in the literature. Unfortunately, the sampling distribution of the estimated Spk being complicated, this makes the exact confidence interval difficult to establish. This thesis considers eight methods to construct approximate confidence intervals for the ratio and difference between two Spk values. These eight methods are Bonferroni, Modified Bonferroni, Difference, Ratio, Generalized Confidence Intervals (GCI) and three based on the Bootstrap, referred to as Standard Bootstrap (SB), Percentile Bootstrap (PB) and the Biased-Corrected Percentile Bootstrap (BCPB). Furthermore, a series of simulation was conducted to investigate and verify the performance of these methods in terms of type I error probability and the selection power. The results indicate that Difference, Ratio and GCI Method provide better performance in most of our studied cases with stable error probability and better selection power. For convenience in applying the suggested methods, the sample size required for various designated selection power are tabulated. Finally, an application example is also presented for decision makers as a reference to assess the capability of suppliers.

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50

Huang, Shu-Mei, and 黃淑媚. "Applying Fuzzy Multi-Criteria Decision Making Methods to Selecting the Cashier from Elementary School Teachers." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/35753572345473367440.

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碩士
雲林科技大學
資訊管理系碩士班
98
In this study, elementary school principal object of study, related literature, for its elementary school level of understanding of treasury operations, the fuzzy Delphi method (Fuzzy Delphi) sent a questionnaire to the elementary school principal experts, the establishment of national primary school teachers part-time cashier of the main selection criteria for reference, trying to understand the elementary school principals to teachers act as cashier of the selection process and to understand the ability of teachers to act as cashier and value perception of how it should be adjusted to the arduous business of competent cashier indicator system. Survey results show: elementary school teachers, principals act as a cashier at the time of selection criteria for consideration, the weight of the top five were: "No bad loans of the situation," "a pragmatic approach to their work," "to obey the superior long- assigned cashier operations management "," cashier affairs can be handled with care, "" can grasp the basic skills of the cashier, "" able to grasp the financial management knowledge ", thus results suggest an elementary school principal in the selection of teachers act as tellers when shall give priority to the teacher no bad loans of the situation, such as to grasp this principle, each school was less likely to embezzlement and other criminal behavior, and affect the overall operation of the school. Summarized in this study of elementary school principals selected teachers in part-time cashier of the selection methods and results, can help principals in the complex and uncertain environment, to set policy and decision-making to improve school effectiveness.

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Dissertations / Theses on the topic 'Methods of selecting'

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