Relevant bibliographies by topics / Multi-criteria Selection

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  2. Dissertations / Theses
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Academic literature on the topic 'Multi-criteria Selection'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 June 2025

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Journal articles on the topic "Multi-criteria Selection"

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S.PUSHPARANI, S. PUSHPARANI, and Dr S. SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR. "Selection of Contractor Using Multi-Criteria Decision Making Tools." Indian Journal of Applied Research 4, no. 4 (2011): 139–42. http://dx.doi.org/10.15373/2249555x/apr2014/259.

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Maskell, Daniel, Andrew Thomson, and Pete Walker. "Multi-criteria selection of building materials." Proceedings of the Institution of Civil Engineers - Construction Materials 171, no. 2 (2018): 49–58. http://dx.doi.org/10.1680/jcoma.16.00064.

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Abel, Edward, John Keane, Norman W. Paton, et al. "User driven multi-criteria source selection." Information Sciences 430-431 (March 2018): 179–99. http://dx.doi.org/10.1016/j.ins.2017.11.019.

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Viriyasitavat, Wattana. "Multi-criteria selection for services selection in service workflow." Journal of Industrial Information Integration 1 (March 2016): 20–25. http://dx.doi.org/10.1016/j.jii.2016.03.003.

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SHALDARBEKOV, Kairat, Gulmira MUKHANOVA, Senymgul DOSSOVA, Zaure NURMUKHAMBETOVA, Gulnar MUSSAEVA, and Karligash SHALDARBEKOVA. "Regional Projects Selection based on Multi-Criteria Evaluation." Journal of Advanced Research in Law and Economics 9, no. 6 (2019): 2026. http://dx.doi.org/10.14505//jarle.v9.6(36).16.

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One of the most important tasks for regional governments is the selection of the most attractive and potentially successful projects for their region. At the regional level, this problem is complicated by the complexity of various factors and their strategic importance. Currently, there are many methods for selecting regional projects to be included in the development program of the territory. However, many methods are only aimed at assessing the financial appeal of a project. The nature of regional projects is very complex and should be evaluated not only from the point of view of their financial success, but also given the specific characteristics of the region. In this study, we have examined a multi-criteria method for selecting of regional projects based on analytical hierarchic process. In particular, we have developed criterion of project selection at the regional level.
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Reza, F., Dr A. N. Kakon, and Md Z. Haq. "Landfill Site Selection of Savar Municipality, Bangladesh: A Multi Criteria Evaluation Approach." Lowland Technology International 18, no. 1 (2016): 41–50. http://dx.doi.org/10.14247/lti.18.1_41.

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Hdioud, Ferdaous, Bouchra Frikh, Brahim Ouhbi, and Ismail Khalil. "Multi-Criteria Recommender Systems." International Journal of Mobile Computing and Multimedia Communications 8, no. 4 (2017): 20–48. http://dx.doi.org/10.4018/ijmcmc.2017100102.

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A Recommender System (RS) works much better for users when it has more information. In Collaborative Filtering, where users' preferences are expressed as ratings, the more ratings elicited, the more accurate the recommendations. New users present a big challenge for a RS, which has to providing content fitting their preferences. Generally speaking, such problems are tackled by applying Active Learning (AL) strategies that consist on a brief interview with the new user, during which she is asked to give feedback about a set selected items. This article presents a comprehensive study of the most important techniques used to handle this issue focusing on AL techniques. The authors then propose a novel item selection approach, based on Multi-Criteria ratings and a method of computing weights of criteria inspired by a multi-criteria decision making approach. This selection method is deployed to learn new users' profiles, to identify the reasons behind which items are deemed to be relevant compared to the rest items in the dataset.
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El-Hawy, Mohamed Abdel Hameed. "Shadowed AHP for Multi-Criteria Supplier Selection." International Journal of Computer Science and Information Technology 16, no. 4 (2024): 115–28. http://dx.doi.org/10.5121/ijcsit.2024.16409.

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Numerous techniques of multi-criteria decision-making (MCDM) have been proposed in a variety of business domains. One of the well-known methods is the Analytical Hierarchical Process (AHP). Various uncertain numbers are commonly used to represent preference values in AHP problems. In the case of multi-granularity linguistic information, several methods have been proposed to address this type of AHP problem. This paper introduces a novel method to solve this problem using shadowed fuzzy numbers (SFNs). These numbers are characterized by approximating different types of fuzzy numbers and preserving their uncertainty properties. The new Shadowed AHP method is proposed to handle preference values which are represented by multi-types of uncertain numbers. The new approach converts multi-granular preference values into unified model of shadowed fuzzy numbers and utilizes their properties. A new ranking approach is introduced to order the results of aggregation preferences. The new approach is applied to solve a supplier selection problem in which multi-granular information are used. The features of the new approach are significant for decision-making applications.
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Serafini, Marco, Davide Russo, and Caterina Rizzi. "Multi Criteria Material Selection for Eco-design." Computer-Aided Design and Applications 12, no. 5 (2015): 526–36. http://dx.doi.org/10.1080/16864360.2015.1014730.

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Kahraman, Cengiz, Ufuk Cebeci, and Ziya Ulukan. "Multi‐criteria supplier selection using fuzzy AHP." Logistics Information Management 16, no. 6 (2003): 382–94. http://dx.doi.org/10.1108/09576050310503367.

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Dissertations / Theses on the topic "Multi-criteria Selection"

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Sirisalee, Pasu. "Multi-criteria material selection in engineering design." Thesis, University of Cambridge, 2005. https://www.repository.cam.ac.uk/handle/1810/251967.

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Shen, Lin. "GIS-based Multi-criteria Analysis for Aquaculture Site Selection." Thesis, University of Gävle, Department of Industrial Development, IT and Land Management, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-7532.

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<p>The pearl oyster <em>Pinctada martensii </em>or <em>Pinctada fucata </em>is the oyster for produce the South China Sea Pearl, and the production of pearl oyster <em>Pinctada martensii</em> plays a key role for the economic and social welfare of the coastal areas. To guarantee both rich and sustainability of providing pearl oyster productions, addressing the suitable areas for aquaculture is a very important consideration in any aquaculture activities. Relatively rarely, in the case of site selection research, the researchers use GIS analysis to identify suitable sites in fishery industry in China. Therefore, I decided to help the local government to search suitable sites form the view of GIS context. This study was conducted to find the optimal sites for suspended culture of pearl oyster <em>Pinctada martensii </em>using GIS-based multi-criteria analysis. The original idea came from the research of Radiarta and his colleagues in 2008 in Japan. Most of the parameters in the GIS model were extracted from remote sensing data (Moderate Resolution Imaging Spectroradiometer and Landsat 7). Eleven thematic layers were arranged into three sub-models, namely: biophysical model, social-economic model and constraint model. The biophysical model includes sea surface temperature, chlorophyll-α concentration, suspended sediment concentration and bathymetry. The criteria in the social-economic model are distance to cities and towns and distance to piers. The constraint model was used to exclude the places from the research area where the natural conditions cannot be fulfilled for the development of pearl oyster aquaculture; it contains river mouth, tourism area, harbor, salt fields / shrimp ponds, and non-related water area. Finally those GIS sub-models were used to address the optimal sites for pearl oyster <em>Pinctada martensii</em> culture by using weighted linear combination evaluation. In the final result, suitability levels were arranged from 1 (least suitable) to 8 (most suitable), and about 2.4% of the total potential area had the higher levels (level 6 and 7). These areas were considered to be the places that have the most suitable conditions for pearl oyster <em>Pinctada martensii </em>for costal water of Yingpan.</p>
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Weber, Charles A. "A decision support system using multi-criteria techniques for vendor selection." Connect to resource, 1991. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261498137.

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Malyon, Brett Edwin. "Project interactions and emergent portfolio attributes in multi-criteria portfolio selection." Thesis, University of Strathclyde, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416194.

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Steyn, Marisa. "Attributes and multi-criteria decision analysis in machine selection for process chains." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53308.

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Thesis (MEng)--University of Stellenbosch, 2003.<br>ENGLISH ABSTRACT: The purpose of this project is to find a means to evaluate a number of machines to optimise a process chain. Firstly seven machine types were identified to be included in the study. These machine types include: broach machines, EDM machines, GNG lathes, engine lathes, drilling machines, milling machines and grinders. The information requirements for these machines in terms of attributes for three areas were identified. Functionality, economical and reliability and availability attributes were identified. These attributes were subsequently incorporated into a MS-Access database to provide a database of machine information. Several methods for comparing machines were studied and the decision then fell on one existing method to be used for machine evaluation. A new method was developed to use for evaluating machines. The existing method is the Analytic Hierarchy Process, whereas the new method developed, is called the Quotient Exponential Method. These methods were implemented in the MS-Access database to enable the user to evaluate machines by means of both methods. The results indicate that these methods provide the correct answers according to test values used. It should be noted that the decision methods should, however, only serve as an aid towards an answer and do not necessarily provide the final answer. The AHP process is very time-consuming for this project because of the large number of criteria evaluated.<br>AFRIKAANSE OPSOMMING: Die doel van hierdie projek is om "n manier te vind om masjiene te evalueer om sodoende "n proses-ketting te optimeer. Eerstens is besluit op die soorte masjiene wat ingesluit gaan word in die projek. Sewe soorte masjiene is gekies en sluit in: RNB draaibanke, masjiendraaibanke, boormasjiene, skuurders, elektriese ontladings masjiene, veelvuldige punt snymasjiene en rubeitelmasj iene. Die inligting-vereistes van die sewe masjiene, in terme van hul attribute vir drie areas, is vervolgens geïdentifiseer. Hierdie drie areas is funksionaliteit, koste, asook beskikbaarheid en betroubaarheid. Hierdie attribute word in "n MS-Access databasis gebruik om "n databasis van masjien-inligting te skep. Verskeie metodes vir die vergelyking en evaluasie van masjiene is bestudeer en daar is op een bestaande metode besluit vir die evaluering van "n aantal masjiene. Daarbenewens is ook "n nuwe metode ontwikkel vir die evaluering van masjiene. Die bestaande metode is die Analitiese Hiërargiese Proses, terwyl die nuwe metode die Kwosiënt Eksponensiële Metode genoem word. Altwee hierdie metodes is in MS-Access geïmplemeteer om die gebruiker in staat te stelom masjiene met albei metodes te vergelyk. Die resultate verkry toon aan dat die korrekte resultaat verkry word volgens die toetsdata wat ingevoer is ten opsigte van die twee metodes. Dit moet in gedagte gehou word dat hierdie metodes egter slegs as "n hulpmiddel tot besluitneming gebruik behoort te word en nie noodwendig die finale antwoord lewer nie. AHP is baie tydsaam gevind, aangesien die masjiene in die projek baie attribute bevat het.
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Abu-Shabeen, Nadine Nabeel. "Development of multi-criteria decision analysis models for bidding and contractor selection." Thesis, Edinburgh Napier University, 2008. http://researchrepository.napier.ac.uk/Output/3746.

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Estimating and bidding a job is one of those essential processes at the heart of a contractor's business. Risk and uncertainty are major considerations in bidding decisions for construction projects. Numerous factors need to be taken into account when making bidding decisions which make them multi-criteria decisions. The present study focuses on developing multi-criteria decision making models to assist in bidding decisions. The Analytical Hierarchy Process (AHP), which is a multi-criteria decision making tool, is used to quantify risk encountered in bidding decisions. The AHP has been employed to model both the bid/no bid and mark-up decisions. The data required for this study was collected from thirty firms operating in Gaza Strip by way of a written structured questionnaire. The data was analysed using the Criterium Decision Plus Software based on the AHP. Ten factors were selected to affect bid/no bid decisions while eleven factors were chosen to influence mark-up decision. Results from the questionnaire survey supported previous studies that profit is not the most important factor in making bid/no bid and mark-up decisions. The results also indicate that the most important factors when making the bid/no bid decision are: the 'need for work' followed by the 'company strength in industry' and 'payment methods'. For the mark-up decision, the 'need for work', 'owner/client and consultant identity' and 'project size' are the most important factors. A real life case study was used to demonstrate the application of the two models. Twelve meetings were conducted with a contractor working in Gaza Strip construction industry in order to gather the required data for the validation. The case study consisted of three different projects, road works, electromechanical and building projects, and the contractor had to make a decision on which projects to bid for and then which of them will result in a higher mark-up. The validity of the two models was confirmed by applying a two-stage Linear Programming (LP) approach to the data obtained from the case study. The results from the LP approach agreed with the outcome from the AHP. The developed AHP models can be easily used by the contractors to assist in making bid/no bid and mark-up decisions. This study investigates the Fuzzy Sets Theory, which is a mathematical approach used to characterise and quantify uncertainty, as a bidding strategy. This study summarises the work that has been done to-date reviewing the fundamental concepts and applications of the Fuzzy Sets Theory in construction. Fuzzy Sets Theory was found to be used widely in construction research but most studies were found theoretical. The research also examines the challenges of using the reverse auction as an open bidding process. In construction industry, reverse auction is one such technique that uses secured Internet technology for tendering process. Advantages of on-line bidding include: the ability to submit more than one bid, time benefits, increasing competitiveness among contractors and attracting unknown bidders. The main drawback of reverse auctions is that the award of the product/service will be based on the price rather than on the quality of the product or service. Furthermore, security and legal issues need further considerations when forming e-contracts for the procurement of construction services. Selecting a suitable contractor to execute a particular project is an important decision for the client to take. Awarding construction contracts based on the price only is not always a successful strategy for contractor selection as it could result in construction delays and cost overruns. In addition to price, factors such as quality and safety need to be taken into account when making the contractor selection decision. In this study, two methods for contractor selection were compared: the points method and the Analytical Hierarchy Process. The two methods were applied to a real life case study for contractor selection. Financial and Quality factors were considered to affect the contractor selection decision. Both methods resulted in selecting the same contractor for executing the project under consderation. The Analytical Hierarchy process provides a flexible and computer based method for contractor selection decision.
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TECCHIO, PAOLO. "Streamlining Life Cycle Assessment to support Ecodesign through multi-criteria materials selection." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2590356.

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This thesis aims to demonstrate how these issues can be solved using specific case studies as examples. The first chapter is dedicated to an introduction to the LCA methodology, in which it is also possible to find a literature review focused on the strengths and weaknesses that may characterize LCA. The second part of the chapter details the methods utilized to analyze uncertainty in LCA results, the state of the art for streamlined and predictive approaches and, finally, an overview of a multi-criteria analysis method useful for materials selection. In particular, the uncertainty analysis associated with LCA results may represent the starting point for the development of streamlined LCA approaches and possible methods of forecasting the environmental results of novel technologies. On the other hand, the multi-criteria analysis grounded in the uncertainty analysis presents a robust method of materials selection in support of Ecodesign. In the second chapter, the uncertainty analysis is used to develop a streamlined LCA method founded on the probabilistic underspecification approach, proposed to support the building design process. The case studies analyzed in this section represent a series of residential building assemblies (exterior walls, interior walls, foundations, roofs, floors, windows, doors, exterior finishes) that were used to test the streamlined method and obtain distributions of results using a cradle-to-gate approach along five phases of the building design process. The bill of materials (BOM) of a building assembly can be specified using different levels of information, which can be really generic during the concept design and fully detailed during the executive project. The low-fidelity characterization of a BOM and the uncertainty associated with these low levels of fidelity are systematically quantified through probabilistic underspecification using a hierarchical classification of materials. Quantitative environmental results, processed with uncertainty analysis, were obtained using low-fidelity categories for materials and building assemblies, demonstrating that LCA can be applied not only when a complete and detailed BOM is available but also when fewer details are known. Finally, decision-making at different stages of the design process is sustained by this approach and is based on the use of a comparison indicator. The third chapter advances the research aimed at streamlining the LCA of buildings with probabilistic underspecification and uncertainty analysis. In particular, it investigates whether LCA can be robustly streamlined through an effective and efficient triage of data collection and the consequent selected use of specific and resource-intensive information. In this context, tests were conducted with a series of building typologies (single-family detached houses and multi-family residential buildings), again analyzed with a cradle-to-gate approach. The probabilistic triage approach was tested to clarify how to use probabilistic underspecification and reduce the effort involved in specification by identifying the activities that require careful characterization. With this approach, by specifying only one part of the bill of materials to the highest level of specificity, the results proved to be both reasonably accurate and obtainable with less effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and the results indicated that just 40-46% of the BOM components represent 75% of the total impacts of both single-family houses and multi-family buildings. Where the second and third chapters were devoted to the streamlined analysis of conventional products, the fourth chapter addresses the use of uncertainty analysis to forecast the environmental burden of an innovative material. Here, a scale-up protocol for an environmental impact assessment is proposed as a means to develop a streamlined ex-ante LCA approach. The novel element of this chapter consists of the adopted scale-up protocol. It does not rely on primary data collected by monitoring real industrial systems, as these data do not yet exist for the product of interest; instead, data measured in a plant at the pilot scale are used alongside data simulated from thermo-chemical considerations based on the stoichiometry of the considered reaction. The scale-up protocol is described and then applied to the case of polybutylene succinate (PBS), a biopolymer that is gaining attention (particularly as a replacement for polyolefins) and is obtained from bio-based succinic acid. Monte Carlo simulation was used to process the uncertainty data for all of the assessments, and a sensitivity analysis was performed to evaluate and compare the different renewable sources and chemical routes available for the production of bio-based succinic acid. The case study of PBS highlights how innovative products can be analyzed without the use of primary data, providing a way to forecast environmental impacts for novel technologies. The advantages of the adopted scale-up methodology consist of the ease of implementation and the possibility of strengthening the Ecodesign approach. In the fifth chapter, a multi-criteria analysis was used to complete the ex-ante LCA results for PBS. The purpose of this analysis was to compare PBS to alternative materials on the basis of more than one property and for use in a specific function. This approach led to the definition of a new concept of the system boundary of the assessment: from cradle to function. The motivation for this alternative strategy stems from the application of the LCA framework to a material to obtain an ecoprofile: the scope of the analysis is generally from cradle to the factory gate, while the unit of mass (or volume) of the material is usually taken as the functional unit for the analysis. However, these methodological choices place relevant limitations on the effectiveness of the assessment. In this chapter, a multi-criteria materials approach was tested using the PBS results to verify and validate the environmental viability of this material’s usage in packaging films. The most novel element of this research is the use of the customized ex-ante LCA and the uncertainty analysis, the latter of which is used to determine the uncertainty in material indices. The results were graphically represented with Ashby plots. When elongation at break and environmental performance were considered, PBS displayed a performance that was better than other traditional polyesters and comparable to the polyolefins considered; performance in terms of this set of properties is particularly beneficial in the case of secondary packaging. In the case of primary packaging, barrier properties acquire major relevance; in this regard, PBS presented among the best trade-offs for the simultaneous optimization of oxygen permeability, elongation at break and environmental impact. Finally, the sixth chapter is devoted to the review of the approaches that were implemented and tested to streamline LCA, highlighting the strengths and weaknesses for each analyzed system and discussing future methodological developments. In particular, the uncertainty analysis based on the Monte Carlo method was used not just to characterize the quality of results but also to develop and implement streamlined approaches. Moreover, the uncertainty analysis proved to be useful for forecasting environmental results for early-stage systems and innovative materials.
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Hook, Tristan William. "Parallel Paths of Equal Reliability Assessed using Multi-Criteria Selection for Identifying Priority Expendature." Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2013. http://hdl.handle.net/10092/7649.

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This research project identifies some factors for the justification in having parallel network links of similar reliability. There are two key questions requiring consideration: 1) When is it optimal to have or create two parallel paths of equal or similar reliability? 2) How could a multi-criteria selection method be implemented for assigning expenditure? Asset and project management always have financial constraints and this requires a constant balancing of funds to priorities. Many methods are available to address these needs but two of the most common tools are risk assessment and economic evaluations. In principal both are well utilised and generally respected in the engineering community; when it compares parallel systems both tend to favour a single priority link, a single option. Practical conception also tends to support this concept as the expenditure strengthens one link well above the alternative. The example used to demonstrate the point that there is potential for parallel paths of equal or similar reliability is the Wellington link from near the airport (Troy Street) up the coast to Paekakariri. Both the local and highway options have various benefits of ease of travel to shopping facilities. Investigating this section provides several combinations from parallel highways to highway and local roads, so will have differing management criteria and associated land use. Generalised techniques are to be applied to the network. Risk is addressed as a reliability index figure that is preset to provide a consistent parameter (equal reliability) for each link investigated. Consequences are assessed with multi-criteria selection focusing on local benefits and shortcomings. Several models are used to build an understanding on how each consequence factor impacts on the overall model and to identify consequences of such a process. Economics are briefly discussed as the engineering community and funding is almost attributed to financial constraints. No specific analytical assessment has been completed. General results indicate there are supporting arguments to undertake a multi-selection criteria assessment while comparing parallel networks. Situations do occur when there is benefit for parallel networks of equal or similar reliability and therefore equal funding to both can be supported.
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Goh, Wan Ai. "Applying Multi-criteria Decision Analysis for Software Quality Assessment." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5438.

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With the rapid advancement of technologies, software is gaining its popularity in assisting our daily activities in the last decades. This circumstance causes a rising concerns about a software product with high quality which lead to a question about the justification whether a software product has high quality. Therefore, a numerous of researches and studies had spent a lot of effort in software product quality assessment in order to justify whether the software product(s) under study have satisfactory quality. One of the foremost approaches to assess software product quality is the application of the quality models. For example, quality model ISO 9126. However, the quality models do not provide an explicit way to aggregate the performance of different quality aspects nor handling the various interests raised from different perspective or stakeholders. Although many studies have been conducted to aggregate the different measures of quality attributes, they are still not capable to include the various interests raised by different software product stakeholders. Therefore, some studies have attempted to apply MCDA methods in order to aggregate the measure of quality attributes as the ultimate software product quality and handling the various quality interests. However, they do not provide any rational about their particular choice of MCDA methods. Most of them justify their choice by referring to high popularity of the selected MCDA method. Without studying the suitability of MCDA methods in the application domain of the software product, it is difficult to conclude whether the chosen MCDA methods fit in the intended software engineering discipline. Furthermore, there is no systematic approach available to help other software practitioners in selecting the MCDA method that will be suitable for their needs and constraints in software product quality assessment. This thesis aims to provide the key concepts for an effective selection of suitable MCDA method for the purpose of software product quality assessment. A foremost part of this thesis presents two systematic reviews. The first review illustrates the evaluation of the characteristics of MCDA methods. The second review identifies the major needs and constraints of the software quality assessment potential MCDA method has to consider in order to be used for assessing quality of software products. Based on the results from both systematic reviews, a selection framework named MCDA-SQA framework is formulated. This framework is intended to assist the software practitioners to systematically select and adapt appropriate MCDA method(s) in order to fulfil their quality assessment needs and the respective environmental concerns.
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Wu, Jie, and Lina Zhou. "GIS-Based Multi-Criteria Analysis for Hostital Selection in Haidian District of Beijing." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13021.

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China has the largest population and the fastest growing economy in the world. The general public's demand for health is rising promptly with the improvement of the living standard. However, the limited and unbalanced medical resource have caused the prominent problem of the society, even in the capital city of Beijing, the new hospital constructions with rational allocation is iminent and significant. Along with the technology development and Internet popularization, GIS approaches and related products has been widely used in the people's daily life. The main focus of this paper is to select a site for building a new hospital in Haidian District of Beijing using GIS-based Multi-Criteria Analysis (MCA). With Analytical Hieraichy Process(AHP) and Rank Order Method (ROM) for the weight setting on factor criteria, necessity tests and sensitivity tests are applied to check which criteria are really necessary and how the results are sensitive to their weight change. The optimal site located in Wenquan Town (E: 116.182, N:40.039) is screened from several candidate sites usin Google Earth maps, which makes the ultimate result more convincing and practical. It can be concluded that GIS-based MCA with necessity and sensitivity tests proposes a novel and useful reference to other site selection decision makers, and also provides constructive tools for the public asministration to set up efficent databases for decision makers to carry out spatial analyses. To make it more maneuverable and practical, a further research on th improvement of this method will have a promising future.
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Books on the topic "Multi-criteria Selection"

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Brodeckiy, Gennadiy, Denis Gusev, and Ivan Shidlovskiy. Multi-criteria choice in logistics research. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1902741.

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Methods and models of optimization of solutions under many criteria are considered, which are conditioned by modern tasks to improve the operation of supply chains and logistics systems. Attention is paid to their specifics in relation to the tasks of organizing transport supply support. The anomalous phenomena of "blindness" to the indicators of individual particular criteria and the phenomena of "blocking" the choice of alternatives when optimizing such systems are analyzed. Special modifications of traditional selection criteria for optimization are presented, allowing to eliminate these phenomena in order to more effectively adapt the selected best solution to the preferences of the decision-maker. The analysis of filtering possibilities of the initially specified alternatives is given so that optimization procedures can be implemented in real time.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation.&#x0D; For students of institutions of higher education. It can be useful for graduate students, logisticians and entrepreneurs who want to organize their business more efficiently.
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Moseley, Kurtis R. A multi-criteria decisionmaking approach for management indicator species selection on the Monongahela National Forest, West Virginia. U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2010.

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Haug, Peter. "Application and evaluation of a multi-criteria decision support system for the dynamic selection of U.S. manufacturing locations". INSEAD, 1986.

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D’Errico, Fabrizio. Material Selections by a Hybrid Multi-Criteria Approach. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13030-9.

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Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Elsevier, 2013. http://dx.doi.org/10.1016/c2012-0-02834-7.

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Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Elsevier, 2016. http://dx.doi.org/10.1016/c2014-0-03347-3.

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Jahan, Ali, Kevin L. Edwards, and Marjan Bahraminasab. Multi-Criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Elsevier Science & Technology Books, 2016.

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Mills, Nancy L. A systematic approach to multi-criteria site selection with an analysis of weight sensitivity. 1988.

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Jahan, Ali, Kevin L. Edwards, and Marjan Bahraminasab. Multi-Criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Elsevier Science & Technology Books, 2016.

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Jahan, Ali, and Kevin L. Edwards. Multi-Criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design. Elsevier Science & Technology Books, 2013.

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Book chapters on the topic "Multi-criteria Selection"

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Linkov, Igor, Emily Moberg, Benjamin D. Trump, Boris Yatsalo, and Jeffrey M. Keisler. "Housing Development Site Selection 1." In Multi-Criteria Decision Analysis. CRC Press, 2020. http://dx.doi.org/10.1201/9780429326448-23.

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Carazo, Ana F. "Multi-Criteria Project Portfolio Selection." In Handbook on Project Management and Scheduling Vol. 2. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05915-0_3.

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Kılıç, Mehtap, Miraç Karakoç, and Cüneyt Çalışkan. "The Use of VIKOR in Location Selection of Field Hospitals." In Multi-Criteria Decision Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-10.

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Linkov, Igor, Emily Moberg, Benjamin D. Trump, Boris Yatsalo, and Jeffrey M. Keisler. "Decision Analysis of Material Selection for Automotive Industry Sustainability 1." In Multi-Criteria Decision Analysis. CRC Press, 2020. http://dx.doi.org/10.1201/9780429326448-25.

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Saha, Rajeev, and Nikhil Dev. "Application of the Fuzzy Analytic Hierarchy Process for Solar Panel Vendor Selection." In Multi-Criteria Decision Modelling. CRC Press, 2021. http://dx.doi.org/10.1201/9781003125150-9-9.

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Göktekin, Zekiye, and Ahmet Bahadır Şimşek. "Drone Evaluation and Selection for Training in Disaster Preparedness Phases with Interval MCDA Techniques." In Multi-Criteria Decision Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-11.

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Ayyildiz, Ertugrul, and Alev Taskin. "A Novel Interval Valued Neutrosophic AHP-WASPAS Methodology for Emergency Supply Depot Location Selection Problems." In Multi-Criteria Decision Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-17.

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Chakraborty, Shankar, Prasenjit Chatterjee, and Partha Protim Das. "Preference Selection Index (Psi) Method." In Multi-Criteria Decision-Making Methods in Manufacturing Environments. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003377030-19.

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Tas, Pelin Gulum, Bahar Yalcin Kavus, Ertugrul Ayyildiz, and Alev Taskin. "UAV Selection for Post-Disaster Medical Supply Distribution Using a Two-Level Interval-Valued Pythagorean Fuzzy AHP Integrated Interval-Valued Pythagorean Fuzzy VIKOR Methodology, and an Application." In Multi-Criteria Decision Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-18.

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van der Weide, T. L., F. Dignum, J. J. Ch Meyer, H. Prakken, and G. A. W. Vreeswijk. "Multi-criteria Argument Selection in Persuasion Dialogues." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33152-7_9.

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Conference papers on the topic "Multi-criteria Selection"

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Kouchi, Sana, Hassina Nacer, and Hachem Slimani. "Multi-criteria based virtual SaaS Selection in Cloud Environment." In 2024 Global Congress on Emerging Technologies (GCET). IEEE, 2024. https://doi.org/10.1109/gcet64327.2024.10934712.

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Elahi, Behin, Rakshitha Gokuldas, Sourabh Hegde, et al. "Using Multi-Criteria Decision-Making Techniques for Industrial Robot Selection." In 2025 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2025. https://doi.org/10.1109/rams48127.2025.10935163.

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Sagar, Shrddha, Avadhesh Kumar, Sofia Singh, Garima Shukla, and Diwakar Upadhyay. "Impact of COVID-19 Variants Using Multi-Criteria Selection Approach." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882351.

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Mishra, Utkarsh, Aparna Unni, Manjeet Singh, and Manjeet Singh. "Multi-Criteria Decision-Making Approach for Electric/Hybrid Electric Vehicle Selection." In 2024 4th International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET). IEEE, 2024. https://doi.org/10.1109/icefeet64463.2024.10866900.

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Köleoğlu, Nisanur, and Yunus Eroğlu. "Leader Selection for Intracompany Projects Using Multi-Criteria Decision Making Techniques." In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). IEEE, 2025. https://doi.org/10.1109/ichora65333.2025.11017047.

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Grandas, Diana, and Michael Smith. "Multi-Criteria Technology Selection Framework for Nuclear-Renewable Hybrid Energy Systems." In 2024 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2024. https://doi.org/10.1109/ias55788.2024.11023703.

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Elmokrini, A., L. Benabbou, and A. Berrado. "Multi-criteria distribution network selection." In 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2015. http://dx.doi.org/10.1109/sita.2015.7358393.

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Rehman, Zia ur, Farookh K. Hussain, and Omar K. Hussain. "Towards Multi-criteria Cloud Service Selection." In 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2011. http://dx.doi.org/10.1109/imis.2011.99.

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Fudzee, Mohd Farhan Md, Jemal Abawajy, and Mustafa Mat Deris. "Multi-criteria Content Adaptation Service Selection Broker." In 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing. IEEE, 2010. http://dx.doi.org/10.1109/ccgrid.2010.128.

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Tan, P. S., E. W. Lee, K. Mous, S. S. G. Lee, and A. E. S. Goh. "Multi-criteria, context-enabled B2B partner selection." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811533.

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Reports on the topic "Multi-criteria Selection"

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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
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Moseley, Kurtis R., W. Mark Ford, John W. Edwards, and Michael P. Strager. A multi-criteria decisionmaking approach to management indicator species selection for the Monongahela National Forest, West Virginia. U.S. Department of Agriculture, Forest Service, Northern Research Station, 2010. http://dx.doi.org/10.2737/nrs-rp-12.

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99mTc SPECT-CT, Consensus QIBA Profile. Chair Yuni Dewaraja and Robert Miyaoka. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2019. https://doi.org/10.1148/qiba/20191021.

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The quantification of 99mTc labeled biomarkers can add unique value in many different settings, ranging from clinical trials of investigation new drugs to the treatment of individual patients with marketed therapeutics. For example, goals of precision medicine include using companion radiopharmaceutical diagnostics as just-in-time, predictive biomarkers for selecting patients to receive targeted treatments, customizing doses of internally administered radiotherapeutics, and assessing responses to treatment. This Profile describes quantitative outcome measures that represent proxies of target concentration or target mass in topographically specific volumes of interest (VOIs). These outcome measures are usually expressed as the percent injected dose (i.e., radioactivity) per mL of tissue (%ID/mL), a standard uptake value ratio (SUVr), or a target-to-background ratio (TBR). In this profile, targeting is not limited to any single mechanism of action. Targeting can be based on interaction with a cell surface protein, an intracellular complex after diffusion, protein-mediated transport, endocytosis, or mechanical trapping in a capillary bed, as in the case of transarterial administration of embolic microspheres. Regardless, the profile focuses on quantification in well-defined volumes of interest. Technetium-99m based dopamine transporter imaging agents, such as TRODAT, are nearly direct links with some aspects of the predecessor profile on 123I-ioflupane for neurodegenerative disorders. (See www.qibawiki.rsna.org ) Cancer is often a base case of convenience for new material in this profile, but the intent is to create methods that can be useful in other therapeutic areas where the diseases are characterized by spatially-limited anatomical volumes, such as lung segments, or multifocal aggregations of targets, such as white blood cell surface receptors on pulmonary nodules in patients with sarcoidosis. Neoplastic masses that can be measured with x-ray computed tomography (CT) or magnetic resonance imaging (MRI) are the starting point. However, the intent is to create a profile that can be extrapolated to diseases in other therapeutic areas that are also associated with focal, or multi-focal pathology, such as pulmonary granulomatous diseases of autoimmune or infectious etiology, non-oncological diseases of organs such as polycystic kidney disease, and the like. The criteria for measurability are based on the current resolution of most SPECT-CT systems in clinical practice, and are independent of criteria for measurability in other contexts. For this SPECT profile, conformance requires that a “small” VOI must be greater than 30 mL to be measurable. It is understood that much smaller VOIs can sometimes exhibit high conspicuity on SPECT, but these use cases are beyond the scope of this profile and will not be tested for conformance in this version. It is left to individual stakeholders to show the extent to which they can achieve conformance when measuring VOIs less than 30 mL. The detection of smaller changes during clinical trials of large groups can be achieved by referring to the QIBA companion guidance on powering trials. The Claims (Section 2) asserts that compliance with the specifications described in this Profile will produce cross sectional estimates of the concentration of radioactivity [kBq/mL] in a volume of interest (VOI) or a target-to-background ratio (TBR) within a defined confidence interval (CI), and distinguish true biological change from system variance (i.e., measurement error) in individual patients or clinical trials of many patients who will be studied longitudinally with 99mTc SPECT agents. Both claims are founded on observations that target density varies between patients with the same disease as well as within patients with multi-focal disease. The Activities (Section 3) describes the requirements that are placed on the Actors who need to achieve the Claim. Section 3 specifies what the actors must do in order to estimate the amount of radioactivity in a volume of interest, expressed in kBq/mL (ideal) or as a TBR (acceptable) within a 95% CI surrounding the true value. Measurands such as %ID/mL are targets for nonclinical studies in animal models that use terminal sacrifice to establish ground truth for imaging studies. TBRs can be precarious, as the assumptions that depend on the physiology of the background regions matching the volume of interest can be hard to accept sometimes. It is up to each individual stakeholder to qualify the background regions used in their own use case. This profile qualifies only a few in some very limited contexts as examples. The Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed. The requirements are focused on achieving sufficient accuracy and avoiding unnecessary variability of the measurements. The clinical performance target is to achieve a 95% confidence interval for concentration in units of kBq/mL (kilobequerels per milliliter) or %ID/mL (percent injected dose per milliliter) or TBR with both a reproducibility and a repeatability of +/- 8% within a single individual under zero-biological-change conditions. This document is intended to help clinicians basing decisions on these biomarkers, imaging staffs generating measurements of these biomarkers, vendors who are developing related products, purchasers of such products, and investigators designing trials. Note that this document only states requirements to achieve the claims, not “requirements on standard of care” nor compliance with any particular protocol for treating participants in clinical trial settings. Conformance to this Profile is secondary to properly caring for patients or adhering to the requirements of a protocol. QIBA Profiles addressing other imaging biomarkers using CT, MRI, PET and Ultrasound can be found at www.qibawiki.rsna.org.
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