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Добірка наукової літератури з теми "Method of multicriteria classification"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Method of multicriteria classification"

Todeschini, R., and E. Marengo. "Linear discriminant classification tree: A user-driven multicriteria classification method." Chemometrics and Intelligent Laboratory Systems 16, no. 1 (1992): 25–35. http://dx.doi.org/10.1016/0169-7439(92)80075-f.

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Silva, Maisa M., Ana Paula H. de Gusmão, and Ana Paula C. S. Costa. "An Outranking Multicriteria Method for Nominal Classification Problems with Minimum Performance Profiles." Mathematical Problems in Engineering 2019 (May 5, 2019): 1–14. http://dx.doi.org/10.1155/2019/4078909.

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Анотація:

In recent years, nominal classification problems have gained importance, especially in the context of strategic management of organizations. In this sense, this paper presents a novel multicriteria nominal classification method, derived from the concepts of PROMETHEE, applied to use in problems characterized by minimum performance profiles (MMP) for the classes. The main advantages of this proposal are criterion and alternative flexibility for classes; robustness, because it uses the concepts of a well-known method (PROMETHEE); and usefulness, because many real situations are characterized by MMP for the classes. Moreover, a real-world example is presented: a retailer’s assignment in a bank, showing the applicability of the method. The proposal of a new multicriteria nominal classification method emerges from a need to devise a more flexible and realistic procedure for characterizing classes because the feature of criterion and alternative flexibility for classes has not been addressed in any extant multicriteria nominal classification procedure. The present proposal thereby endeavors to address this deficit in the multicriteria field.

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Belacel, Nabil, Hiral Bhasker Raval, and Abraham P. Punnen. "Learning multicriteria fuzzy classification method PROAFTN from data." Computers & Operations Research 34, no. 7 (2007): 1885–98. http://dx.doi.org/10.1016/j.cor.2005.07.019.

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Liang, Liang, Ren Yan Jiang, and Yin Liang. "A Multicriteria Decision Method with Uncertain Information in Financial Credit Loan Decision-Making." Applied Mechanics and Materials 52-54 (March 2011): 1868–72. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1868.

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It is difficult to obtain the correct criteria weights with uncertain information in the multicriteria decision-making. Many methods depend on the subjective estimate. Therefore, a method is presented to evaluate the samples ranking only need the importance order of criteria. It evaluates firstly the overall ranking scores of samples based on the graphical classification and multicriteria hierarchical integrated methods. Subsequently, the relation model between the criteria scores and overall ranking scores of samples is built by linear regression. Finally, a fincial credit loan decision-making problem is presented to describe the way of the multicriteria decisiion making process. The analysis to compare with the AHP method illustrates the proposed method is objective and effective.

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Khoder, Mahdi, Serge Kashana, Jihan Khoder, and Rafic Younes. "Multicriteria classification method for dimensionality reduction adapted to hyperspectral images." Journal of Applied Remote Sensing 11, no. 2 (2017): 025001. http://dx.doi.org/10.1117/1.jrs.11.025001.

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Wang, Xiao-yi, Yi Yang, Yu-ting Bai, Jia-bin Yu, Zhi-yao Zhao, and Xue-bo Jin. "Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making." Complexity 2020 (August 17, 2020): 1–10. http://dx.doi.org/10.1155/2020/8147617.

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The expert is a vital role in multicriteria decision-making, which provides source decision opinions. In the existing group decision-making activities, the selection of experts is usually conducted artificially, which relies on personal subjective experience. It has been the urgent demand for an automatic selection of experts, which can help to determine their weights for the follow-up decision calculation. In this paper, an expert classification method is proposed to solve the problem. First, the CatBoost classification algorithm is improved by integrating the 2-tuple linguistic, which can effectively extract the features of samples. Second, the framework of the expert classification is designed. The flow combines the expert resume collection, expert classification, and database update. Third, a decision-making case is analyzed for the expert selection issue. The experiment and result indicate that the proposed classifier performs better than the classic methods. The proposed classification method of the decision experts can support the automatic and intelligent operation of the decision-making activities.

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Zopounidis, Constantin, and Michael Doumpos. "Multicriteria classification and sorting methods: A literature review." European Journal of Operational Research 138, no. 2 (2002): 229–46. http://dx.doi.org/10.1016/s0377-2217(01)00243-0.

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Kefer, Petar, Dragan D. Milanovic, Mirjana Misita, and Aleksandar Zunjic. "Fuzzy Multicriteria ABC Supplier Classification in Global Supply Chain." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/9139483.

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The determination of the optimal purchasing strategy in enterprise that is a part of global supply chain could be performed in two steps. In step one, a classification of potential suppliers is performed in order to determine the optimal portfolio of suppliers. This is delivered by using the fuzzy multicriteria proposed ABC classification method. Uncertainties in relative importance of criteria and their values are described by linguistic expressions. Modelling of linguistic expressions is based on the fuzzy sets theory. In the second step, ranking of optimal portfolio of suppliers is performed by using the modified ELECTRE method. The obtained results represent valuable input for determining the long time purchasing strategy and building partnership with the best suppliers. The developed two-step model is verified on real life data. The obtained results indicate good compliance with the opinions management in this type of industry. It is worth to mention that the proposed model can be easily extended and adopted to the analysis of other issues of management which could be applicable in different research areas.

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Costa, Ana Sara, Salvatore Corrente, Salvatore Greco, José Rui Figueira, and José Borbinha. "A robust hierarchical nominal multicriteria classification method based on similarity and dissimilarity." European Journal of Operational Research 286, no. 3 (2020): 986–1001. http://dx.doi.org/10.1016/j.ejor.2020.04.021.

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Salukvadze, M., N. Jibladze, V. Maisuradze, and A. Topchishvili. "Methods and algorithms for solving multicriteria problems – classification approach." Model Assisted Statistics and Applications 2, no. 4 (2008): 239–51. http://dx.doi.org/10.3233/mas-2007-2406.

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Дисертації з теми "Method of multicriteria classification"

Nemery, De Bellevaux Philippe. "On the use of multicriteria ranking methods in sorting problems." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210424.

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Notre thèse est consacrée à l’étude des méthodes de rangements multicritères dans le cadre de la problématique de tri. Dans un problème de tri une personne, appelée décideur, désire assigner un objet, appelé action, à des catégories prédéfinies. Des problèmes de tri surgissent régulièrement dans la vie de tous les jours. Par exemple, un médecin ausculte son patient et sur base des symptômes observés, il assigne son patient à une catégorie de pathologies. Ainsi, le médecin peut prescrire un traitement approprié. Par ailleurs, on catégorise les cyclones tropicaux en fonction de leur vitesse, pression superficielle et de la hauteur de marée. En fonction de la catégorie du cyclone, des dégâts éventuels peuvent être prédits et des mesures de protection adéquates devront être prises. Dans un problème de tri, un décideur regroupe ainsi les actions qu’il considère similaires, à des fins descriptives, organisationnelles ou préventives. Nous supposerons en outre que le décideur exprime une relation de préférence entre les classes préalablement définies. D’autre part, les méthodes de rangement permettent de ranger les actions de la meilleure à la moins bonne. Nul étudiant ne peut nier l’existence des " rankings " d’universités. Une société ordonne les candidats à l’issue d’un entretien d’embauche. Une société désire par ailleurs établir des partenariats avec les fournisseurs les plus performants. Nous sommes tous confrontés à cette tâche délicate de ranger les actions de la meilleure à la moins bonne. Les méthodes d’aide à la décision proposent des techniques permettant à un décideur d’obtenir un rangement d’actions. L’objectif de cette thèse est d’étudier la possibilité de résoudre des problèmes de tri à l’aide de méthodes de rangement. L’approche adoptée est de ranger une action particulière par rapport à des normes ou profils définissant les catégories. L’assignation de l’action sera dès lors basée sur sa position dans ce rangement particulier. Quelles sont les hypothèses nécessaires pour un tel modèle ?Ces méthodes présentent-elles un biais ou ont-elles d’autres avantages par rapport aux méthodes de tri existantes? Est-il préférable de modéliser les catégories à l’aide de critères même si celles-ci ne présentent pas de relation de préférence ?Dans cette thèse nous donnerons des premiers éléments de réponse en développant de nouvelles méthodes de tri basées sur des méthodes de rangement existantes. Doctorat en Sciences de l'ingénieur info:eu-repo/semantics/nonPublished

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Tufekci, Nesrin. "Gis Based Geothermal Potential Assessment For Western Anatolia." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607651/index.pdf.

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This thesis aims to predict the probable undiscovered geothermal systems through investigation of spatial relation between geothermal occurrences and its surrounding geological phenomenon in Western Anatolia. In this context, four different public data, which are epicenter map, lineament map, Bouger gravity anomaly and magnetic anomaly maps, are utilized. In order to extract the necessary information for each map layer the raw public data is converted to a synthetic data which are directly used in the analysis. Synthetic data employed during the investigation process include Gutenberg-Richter b-value map, distance to lineaments map and distance to major grabens present in the area. Thus, these three layers including directly used magnetic anomaly maps are combined by means of Boolean logic model and Weights of Evidence method (WofE), which are multicriteria decision methods, in a Geographical Information System (GIS) environment. Boolean logic model is based on the simple logic of Boolean operators, while the WofE model depends on the Bayesian probability. Both of the methods use binary maps for their analysis. Thus, the binary map classification is the key point of the analysis. In this study three different binary map classification techniques are applied and thus three output maps were obtained for each of the method. The all resultant maps are evaluated within and among the methods by means of success indices. The findings reveal that the WofE method is better predictor than the Boolean logic model and that the third binarization approach, which is named as optimization procedure in this study, is the best estimator of binary classes due to obtained success indices. Finally, three output maps of each method are combined and the favorable areas in terms of geothermal potential are produced. According to the final maps the potential sites appear to be Aydin, Denizli and Manisa, of which first two have been greatly explored and exploited since today and thus not surprisingly found as potential in the output maps, while Manisa when compared to first two is nearly virgin.

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Загородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, Сумський державний університет, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18188.

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Загородня, Тетяна Миколаївна. "Моделі та інформаційна технологія забезпечення компетентності випускників вищого навчального закладу з урахуванням вимог роботодавця". Thesis, НТУ "ХПІ", 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/18178.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.06 – інформаційні технології. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2015. У дисертаційній роботі вирішена актуальна науково-практична задача обґрунтування та розробки інформаційної технології забезпечення компетентності випускників ВНЗ з урахуванням вимог роботодавця до компетентності фахівців. Проаналізовано наукові досягнення в області підвищення ефективності навчання з урахуванням модульної системи і компетентісного підходу, сформульовано основні вимоги до інформаційної системи підтримки прийняття рішень для викладацького складу з метою вдосконалення процесу навчання студентів технічних спеціальностей, зокрема, майбутніх інженерів. Створено математичну модель представлення компетентності студентів як складної агрегованої характеристики. Розроблено модель багатокритеріальної оптимізації параметрів навчального процесу, яка дозволяє максимізувати функцію компетентності. Розроблено і впроваджено відповідну інформаційну технологію підтримки прийняття рішень, яка дозволяє проводити оптимізацію процесу навчання студентів технічних спеціальностей задля підвищення їхньої компетентності, що відповідає вимогам роботодавців. Здійснено оптимізацію параметрів навчального процесу для студентів заочної форми навчання, які вивчають дисципліну "Теоретичні основи електротехніки", що дозволяє підвищити сформований рівень компетентності на 20-35 %. Результати впроваджено та використано під час організації навчального процесу у провідних закладах вищої освіти України. Thesis for a Candidate Degree in Technical Sciences, Specialty 05.13.06 – Information technologies. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2015. In the dissertation the relevant scientific and practical problem is solved, which is related to study and development of information technology for ensuring competencies of graduates to meet the requirements of the employer for the competence of professionals. Scientific achievements in the field of improving of learning efficiency based on a modular system and the competence approach were analyzed. The basic requirements to decision support information system for teaching staff were formulated in order to improve the learning process of students of technical specialties, including future engineers. A mathematical model of competence representation as a complex aggregated characteristic was created. The model of multicriteria optimization of the parameters of learning process was developed, which allows to maximize the competence function. The decision support information technology was developed and deployed. It allows to optimize the learning process of students of technical specialties for improvement of their competence and satisfaction of employers requirements. The optimization of parameters of learning process for students of low residence education was performed. It was done for discipline «Theoretical Foundations of Electrical Engineering» and allowed to increase the level of competence by 20–35 %. The results were used for organization of learning process in leading universities of Ukraine.

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Vafaeyan, Shadi. "A new approach to the Rough Set multicriteria optimisation method." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/28031.

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In the recent years, enormous amount of attention has been given to multicriteria optimisation problems. These are problems with conflicting objectives, to which it is impossible to obtain an optimum solution that contains the best value for every criterion simultaneously, therefore the decision maker must decide on a reasonable compromise. There have been numerous developments of optimisation methods to aid the decision-maker in addressing such problems. These methods can be divided to two categories based on the use or not of the Pareto domain (PD). The Pareto domain is the set of all non-dominated solutions to the multicriteria problem, where no solution is better or worse than any other in the set when all the criteria are considered equal in importance. This thesis is a collection of two papers that focuses on a new approach to the Rough Set multicriteria optimisation technique. Rough Set method (RSM) requires the determination of the PD as the first step to the optimisation process. In the suggested new approach to RSM, a more systematic way in the selection of points from the PD, that is given to the expert for ranking and then the generation of rules by which the entire PD is ranked, is presented. The RSM that operates based on this new approach was applied to three case studies in paper 1 and to "Beer quality optimisation" in the second paper. The results were compared to the ones obtained by the traditional RSM, Net Flow method and the simple Least Squares method. In conclusion, the new RSM showed to be the most reliable and robust method of all.

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Buonanno, Michael Alexander. "A Method for Aircraft Concept Exploration using Multicriteria Interactive Genetic Algorithms." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7571.

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The problem of aircraft concept selection has become increasingly difficult in recent years due to changes in the primary evaluation criteria of concepts. In the past, performance was often the primary discriminator whereas modern programs have placed increased emphasis on factors such as environmental impact, economics, supportability, aesthetics, and other metrics. The revolutionary nature of the vehicles required to simultaneously meet these conflicting requirements has prompted a shift from design using historical data regression techniques for metric prediction to the use of sophisticated physics-based analysis tools that are capable of analyzing designs outside of the historical database. The use of optimization methods with these physics-based tools, however, has proven difficult because of the tendency of optimizers to exploit assumptions present in the models and drive the design towards a solution which, while promising to the computer, may be infeasible due to factors not considered by the computer codes. In addition to this difficulty, the number of discrete options available at this stage may be unmanageable due to the combinatorial nature of the concept selection problem, leading the analyst to select a sub-optimum baseline vehicle. Some extremely important concept decisions, such as the type of control surface arrangement to use, are frequently made without sufficient understanding of their impact on the important system metrics due to a lack of historical guidance, computational resources, or analysis tools. This thesis discusses the difficulties associated with revolutionary system design, and introduces several new techniques designed to remedy them. First, an interactive design method has been developed that allows the designer to provide feedback to a numerical optimization algorithm during runtime, thereby preventing the optimizer from exploiting weaknesses in the analytical model. This method can be used to account for subjective criteria, or as a crude measure of un-modeled quantitative criteria. Other contributions of the work include a modified Structured Genetic Algorithm that enables the efficient search of large combinatorial design hierarchies and an improved multi-objective optimization procedure that can effectively optimize several objectives simultaneously. A new conceptual design method has been created by drawing upon each of these new capabilities and aspects of more traditional design methods. The ability of this new technique to assist in the design of revolutionary vehicles has been demonstrated using a problem of contemporary interest: the concept exploration of a supersonic business jet. This problem was found to be a good demonstration case because of its novelty and unique requirements, and the results of this proof of concept exercise indicate that the new method is effective at providing additional insight into the relationship between a vehicle's requirements and its favorable attributes.

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PAIXÃO, GIOVANNA PATE DA. "STOCK PORTFOLIO SELECTION MODEL: AN APPLICATION OF MULTICRITERIA METHOD ANALYTIC HIERARCHY PROCESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34578@1.

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Com o intuito de obter parte do lucro futuro de uma empresa, o investidor adquire uma ação - título que representa a menor parcela do capital de uma empresa. Tal investidor, interessado em investir em ações, se depara com uma primeira decisão a tomar: em quais ações investir. Existem diversos métodos para a seleção de ações, podendo ser classificados em métodos puramente objetivos, puramente subjetivos e métodos compostos. O presente trabalho visa propor um método composto, baseado no modelo multicritério Analytic Hierarchy Process (AHP), para ordenar as ações nas quais o investidor deve investir dado um determinado grupo de ações pré-selecionado. Com base no presente estudo, o modelo proposto demonstrou ser uma ferramenta de simples aplicação e viável para que qualquer investidor – dos mais qualificados aos menos qualificados – possa tomar a decisão de escolha de ações utilizando esta ferramenta. Dentre a amostra de 10 ações pré selecionadas, as empresas que obtiveram maior pontuação, e por isso, fariam parte do portfólio de ações, foram: Itaú Unibanco, BMF Bovespa e Vale. In order to obtain a part of the future profit of a company, an investor buys a stock - the smaller share of a company s capital. The investor, interested in putting money into stocks, faces his/her first decision: in which stock to invest. There are several methods to select the stocks which can be classified as purely objective method, purely subjective and combined method. This paper intends to propose a combined method based on the multicriteria model Analytic Hierarchy Process (AHP) in order to rank stocks for investors to choose his/her investments from the given group of stocks. Based on this study, the proposed model proved to be a simple application tool and viable for any investor - from the most qualified to least qualified - be able to make decision of choosing stocks using this tool. Among the sample of 10 pre selected stocks, the ones which achieved a higher score, and therefore would be part of the portfolio of shares, were: Itaú Unibanco and Vale BMF Bovespa.

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Dur, Fatih Çelik H. Murat. "The Usage Of Stochastic And Multicriteria Decision-Aid Methods Evaluating Geothermal Energy Exploitation Projects/." [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/sehirplanlama/T000324.pdf.

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Анотація:

Thesis (Master)--İzmir Institute of Technology, İzmir, 2005. Keywords: Geothermal energy, multi criteria decision method, stochastic methods, Monte Carlo method. Includes bibliographical references (leaves.93-98).

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GOMES, KESIA GUEDES ARRAES. "A MULTICRITERIA METHOD FOR THE LOCATION OF INTENDANCY CELLULAR UNITS OF THE BRAZILIAN AIR FORCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14984@1.

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As Unidades Celulares de Intendência (UCI) da Força Aérea Brasileira são estruturas móveis destinadas a prestar o apoio logístico ao homem, quando deslocado de sua Organização Militar de origem, para cumprir missão real ou de adestramento, em locais remotos ou desprovidos de recursos. Na FAB, existem oito UCI distribuídas regionalmente pelo território nacional brasileiro. Para atender ao Plano de Articulação da FAB e aos ditames da Estratégia Nacional de Defesa, vários estudos foram desenvolvidos, na Diretoria de Intendência, Órgão Central do Sistema de Intendência Operacional, acerca da sistemática de distribuição (localização) dessas Unidades para melhor atender às exigências operacionais da Força. Com o intuito de permitir uma maior compreensão sobre o tema, esta dissertação apresenta a aplicação de um método multicritério de apoio à decisão, denominado AHP (Analytic Hierarchy Process), com vistas a facilitar o processo de escolha e priorização da localização estratégica das UCI da FAB, contemplando o possível fechamento de três Unidades Celulares de Intendência. O método AHP, desenvolvido por Thomas L. Saaty, permite a estruturação hierárquica de um problema estratégico complexo, a incorporação das preferências dos decisores na mensuração dos fatores qualitativos envolvidos, bem como a aplicação de uma abordagem que pode agregar variáveis intangíveis monetariamente. A relevância do tema permitiu a participação de Oficiais da Diretoria de Intendência que são experientes e peritos no assunto, facilitando a captação das informações e dos dados necessários à aplicação do método. The Intendancy Cellular Units (UCI) of the Brazilian Air Force are mobile structures which aim at providing the logistic support to man, when he’s displaced from his Military Organization in order to accomplish real or training missions in remote areas or places that lack resources. In the Brazilian Air Force, there are eight UCI which are regionally distributed along the Brazilian national territory. Considering the need to fulfill the Brazilian Air Force Articulation Plan and the National Defense Strategy, many studies were developed in the Directory of Intendancy, Main Body that is responsible for the Operational Intendancy System, to evaluate the distribution (location) of these Units so as to comply with the operational demands of the Air Force. With the need to better understand the subject, this research presents the application of a multi-criteria decision making method, namely AHP (Analytic Hierarchy Process), to facilitate the process of choosing and prioritizing the UCI strategic location, taking into consideration the possible closure of three Intendancy Cellular Units. The AHP method, developed by Thomas L. Saaty, allows for the hierarchical structure of a complex strategic problem, the incorporation of decision makers preferences when measuring all the qualitative aspects involved as well as the use of an approach that can aggregate monetary intangible variables. Given the theme’s relevance, the participation of wise and expert Officers from the Directory of Intendancy enabled the perception of information and the necessary data in order to apply the method.

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Dannert, Sofia, and Josefin Norström. "Metod för bedömning och jämförelse av insamlings- och sorteringssystem för hushållsavfall : Utveckling av ett verktyg för multikriterieanalys med en- och fåfamiljshus i Linköpings kommun som fall." Thesis, Linköpings universitet, Industriell miljöteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148883.

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En av de största globala utmaningarna idag är de negativa miljöeffekterna från den linjära ekonomin som världen bygger på, där produkter oupphörligt skapas från jungfruliga råvaror och efter användningstiden slutar som avfall utan nytta. Initiativ på flera nivåer; lokalt, regionalt, nationellt och globalt, krävs för att uppnå en cirkulär ekonomi där uppkomsten av avfall, samt utvinningen av jungfruliga råvaror, minskar. Europeiska unionens handlingsplan för cirkulär ekonomi säger att 75 % av alla förpackningar ska materialåtervinnas till år 2030. I Sverige materialåtervinns mellan 42,2 % (plastförpackningar) och 95 % (glas) och fastighetsnära insamlingssystem för förpackningar och tidningar är förhållandevis väl utbyggda, åtminstone för flerfamiljshus. Gällande småhus har utvecklingen gått något långsammare även om flera kommuner idag infört fastighetsnära insamling för hushållsavfall, inklusive förpacknings- och tidningsavfall. Att välja ett nytt, utökat avfallssystem till en kommun är ett stort och komplext beslut med många aspekter att ta hänsyn till. Flera tidigare utredningar inför denna typ av beslut har saknat en tydlig målbild, metodik och systematik i granskningen, varför syftet med denna studie varit att utveckla en metod för att genomföra en systematisk multikriterieanalys av ett antal avfallssystem för insamling och sortering av hushållsavfall från småhus i en kommun. Innan multikriterieanalysen påbörjades gjordes en omfattande kartläggning av de aspekter som är kopplade till beslutet om ett nytt avfallssystem. Kartläggningen och det urval av aspekter som gjordes till multikriterieanalysen är värdefull kunskap för kommuner som står inför denna typ av beslut. Multikriterieanalysen har tagits fram med inspiration från den generiska formen av en multikriterieanalys där Linköpings kommun och Tekniska verken använts som fall. På grund av detta har även de system som utvärderats valts ut med hänsyn till intressanta avfallssystem för Linköpings kommun. Den framtagna multikriterieanalysen har paketerats i ett användarvänligt verktyg som kan användas av beslutsfattare i kommuner som önskar att utvärdera och jämföra avfallssystem för småhus. Studien har resulterat i att det i huvudsak är följande sju kriterier som bör beaktas i en utredning gällande ett nytt insamlings- och sorteringssystem för småhus i en kommun, där resurseffektivitet är av hög prioritet i beslutet: <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="1" data-aria-level="1">Etablerbarhet & flexibilitet <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="2" data-aria-level="1">Miljöpåverkan från materielbehov <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="3" data-aria-level="1">Kundperspektiv <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="4" data-aria-level="1">Arbetsmiljö <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="5" data-aria-level="1">Miljöpåverkan från energianvändning vid drift <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="1" data-aria-level="1">Insamlingsresultat <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="2" data-aria-level="1">Ekonomi Dessa kriterier har brutits ned i mindre beståndsdelar, kallade indikatorer. När avfallssystem ska utvärderas och jämföras är det essentiellt att de bedöms inom dessa kriterier och indikatorer för att skapa bra underlag inför valet av system. Studien har kunnat belysa att det i nuläget finns en hel del osäkerheter inom områdena Etablerbarhet & flexibilitet samt Miljöpåverkan från energianvändning i drift som försvårar bedömning av system inom kriterierna. Även vissa avfallssystem saknas tillräcklig kunskap om som krävs för att kunna göra en rättvis bedömning av systemen, mycket till följd av att de är oetablerade i Sverige. One of the greatest challenges the world is facing today is the negative environmental effects as a result from the linear economy used in societies, where products are constantly being produced from raw materials and end up as waste after the period of usage. Initiatives on many levels; local, regional, national and global are needed to create a circular economy which minimizes both the generation of waste and the extraction of raw materials. The European Union’s action plan for circular economy expresses that 75 % of all packaging waste should be recycled by 2030. In Sweden packaging waste is being recycled between 42,2 % (plastic waste) to 95 % (glass waste) and the curbside collection systems for packaging waste are quite well-developed, especially regarding waste systems for multi-family houses. For single-family houses the development has been slower, although several municipalities have introduced curbside collection systems for household waste including packaging and newspaper waste during the last years. It is a comprehensive and complex decision to invest in a new extended curbside collection and sorting system in a municipality and there are many aspects to consider. Since several previous inquiries regarding this type of decision lacks a systematic approach and clear objectives, the purpose of this study is to develop a method for conducting a systematic multi-criteria analysis of collection and sorting systems for single-family household waste in a municipality. Prior to the multi-criteria analysis a substantial evaluation of aspects related to the decision of a new waste system was made. The mapping and selection of aspects that were made provide great knowledge for municipalities facing this kind of decision. The developed multi-criteria analysis is based on the generic form of a multi-criteria analysis, using the municipality of Linköping and Tekniska verken as case. As a result, the range of waste systems evaluated have been selected according to the preferences of Linköping municipality. The developed multi-criteria analysis has been transferred to a user-friendly tool for decision makers at municipalities who wish to assess and compare extended collection and sorting systems for single-family household waste. The study has resulted in the following criteria which should be considered in an inquiry of waste systems for single-family houses in a municipality, where resource efficiency is highly prioritized: <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="1" data-aria-level="1">Establishment & flexibility <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="2" data-aria-level="1">Environmental impact from usage of materiel <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="3" data-aria-level="1">Customer perspective <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="1" data-aria-level="1">Working standards <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="2" data-aria-level="1">Environmental impact from energy usage during operation <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="3" data-aria-level="1">Collection results <li data-leveltext="" data-font="Symbol" data-listid="29" data-aria-posinset="4" data-aria-level="1">Economy These criteria have been divided into smaller components, called indicators. When assessing and comparing waste systems, it is essential to evaluate systems within these criteria and indicators to ensure a thorough basis for this type of decision. The study has been able to highlight some lack of knowledge within the criteria Establishment & flexibility and Environmental impact from energy usage during operation, which complicates the assessment of waste systems within these areas. Sufficient knowledge regarding some waste systems are also missing, most likely due to the systems not being used in Sweden.

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Книги з теми "Method of multicriteria classification"

Doumpos, Michael. Multicriteria decision aid classification methods. Kluwer Academic Publishers, 2002.

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Constantin, Zopounidis, ed. Multicriteria decision aid classification methods. Kluwer Academic Publishers, 2002.

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1948-, Matusov Joseph B., ed. Multicriteria analysis in engineering: Using the PSI method with MOVI 1.0. Kluwer Academic Publishers, 2002.

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1977-, Bowern Claire, and Koch Harold James, eds. Australian languages: Classification and the comparative method. John Benjamins Pub., 2004.

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Tang, Xiaoou. Dominant run-length method for image classification. Woods Hole Oceanographic Institution, 1997.

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Tang, Xiaoou. Dominant run-length method for image classification. Woods Hole Oceanographic Institution, 1997.

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Sustainable packaging?: A multicriteria evaluation method for food packaging : Poliedro, Pollenzo index enviromental and economics design = Packaging sostenibile? : metodo multicriteria di valutazione del packaging alimentare. Umberto Allemandi & C., 2013.

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Das, Indraneel. Normal-boundary intersection: An alternate method for generating Pareto optimal points in multicriteria optimization problems. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Alberta. Alberta Sustainable Resource Development. Alberta IFN stream classification assessment project validation of the recommended method. Golder Associates, 2004.

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Mukherji, Shekhar. Functional classification of Indian towns by factor-cluster method, 1981 and 1991. International Institute for Population Sciences, 1994.

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Deng, Weibin, Guoyin Wang, Shuangxia Yang, and Feng Hu. "A New Method for Inconsistent Multicriteria Classification." In Rough Sets and Knowledge Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24425-4_76.

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Zgurovsky, Michael, Victor Sineglazov, and Elena Chumachenko. "Classification and Analysis of Multicriteria Optimization Methods." In Studies in Computational Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48453-8_2.

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Doumpos, Michael, and Constantin Zopounidis. "On the Use of Multicriteria Classification Methods: A Simulation Study." In Aiding Decisions with Multiple Criteria. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0843-4_10.

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Ogryczak, Włodzimierz. "Preemptive Reference Point Method." In Multicriteria Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_16.

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Stam, Antonie, and A. Pedro Duarte Silva. "A Multiplicative Method for Synthesizing Preference Ratings." In Multicriteria Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_10.

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Miettinen, Kaisa, and Marko M. Mäkelä. "Interactive Method NIMBUS for Nondifferentiable Multiobjective Optimization Problems." In Multicriteria Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_30.

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Kirilov, Leonid M., and Vassil S. Vassilev. "A Method for Solving Multiple Objective Linear Programming Problems." In Multicriteria Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_29.

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Sakawa, Masatoshi, and Hitoshi Yano. "A Fuzzy Decomposition Method by Right-Hand-Side Allocation for Large-Scale Multiobjective Nonlinear Programming Problems." In Multicriteria Analysis. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_23.

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Statnikov, Roman B., and Joseph B. Matusov. "Multicriteria Optimization and Parameter Space Investigation Method." In Multicriteria Analysis in Engineering. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9968-9_1.

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Dalezios, Nicolas R., Kostas Mitrakopoulos, and Basil Manos. "Multi-scaling Agroclimatic Classification for Decision Support Towards Sustainable Production." In Multicriteria Analysis in Agriculture. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76929-5_1.

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Тези доповідей конференцій з теми "Method of multicriteria classification"

Lahdelma, R., and P. Salminen. "A Method for Ordinal Classification in Multicriteria Decision Making." In Artificial Intelligence and Applications. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-065.

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Brasil Filho, Amaury T., Placido R. Pinheiro, Andre L. V. Coelho, and Nathanael C. Costa. "Comparison of two prototype-based multicriteria classification methods." In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM). IEEE, 2009. http://dx.doi.org/10.1109/mcdm.2009.4938840.

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Mendonca Silva, Maisa, Ana Paula H. Gusmao, Thrcylla R. N. Clemente, Katarina T. M. Santiago, and Ana Paula C. S. Costa. "A Multicriteria Nominal Classification Method to Define Public Safety Policies in Brazilian States." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00526.

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Costa, Nathanael C., Amaury T. Brasil Filho, Andre L. V. Coelho, and Placido R. Pinheiro. "Selecting prototypes for two multicriteria classification methods: A comparative study." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393620.

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Brigui-Chtioui, I., and I. Saad. "Multiagent framework for group multicriteria classification." In 2016 International Conference on Industrial Informatics and Computer Systems (CIICS). IEEE, 2016. http://dx.doi.org/10.1109/iccsii.2016.7462443.

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Krtolica, Radovan V. "Multicriteria character classification using Pareto optimality." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Donald P. D'Amato. SPIE, 1993. http://dx.doi.org/10.1117/12.143625.

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Del Amo, Ana, Luis Garmendia, Daniel Gomez, and Javier Montero. "A Spatial Classification Model for Multicriteria Analysis." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369112.

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Sassi, Imene, Nabil Belacel, Yassine Bouslimani, Habib Hamam, and Rabah Attia. "Multicriteria classification for photonic crystal fiber design." In Photonics North 2008, edited by Réal Vallée, Michel Piché, Peter Mascher, et al. SPIE, 2008. http://dx.doi.org/10.1117/12.807167.

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Ye, Weilong. "ABC Inventory Classification Based on Multicriteria Optimization." In First International Conference on Transportation Engineering. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40932(246)667.

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Santos, Sara, Luis Miguel D. F. Ferreira, and Amílcar Arantes. "Proposal of an SKU Classification Framework - A Multicriteria Approach." In International Conference on Operations Research and Enterprise Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005287004130418.

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Tang, Xiaoou. Dominant Run-Length Method for Image Classification. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329351.

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Backman, G. E., J. T. Denovan, N. P. Nisick, and J. A. Piatt. Hazard classification method for facilities containing toxic chemicals at the Pacific Northwest Laboratory. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/5492679.

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Pavlicheva, E. N., V. P. Meshalkin, and N. S. CHikunov. Algorithm for processing text data for an automatic classification problem using the word2vec method. OFERNIO, 2021. http://dx.doi.org/10.12731/ofernio.2021.24759.

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Hunter, C. A RECOMMENDED PASQUILL-GIFFORD STABILITY CLASSIFICATION METHOD FOR SAFETY BASIS ATMOSPHERIC DISPERSION MODELING AT SRS. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1037732.

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Rennhofer, Marcus, and Tim Selke. Report on a new and universal classification method “new generation solar cooling square view” for generic systems. IEA SHC Task 53, 2019. http://dx.doi.org/10.18777/ieashc-task53-2019-0003.

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Kim, Inhwa, Yunja Nam, and Sungmin Kim. Development of Classification Method of the Flattened Body Surface Figures for the Mass Customization of Men's Formal Jacket. Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1897.

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Glushko, E. Ya, and A. N. Stepanyuk. The multimode island kind photonic crystal resonator: states classification. SME Burlaka, 2017. http://dx.doi.org/10.31812/0564/1561.

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In this work, we consider a new calculation method to solve the eigenvalue problem for electromagnetic field in finite 2D structures including the modes distribution through the system. The field amplitude distribution is valuable if the signal energy inside the system should be transformed in most effective way. The method proposed for finite resonators operates with open boundary conditions that are important to account the electromagnetic field non-periodicity in a finite system.

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Messner, M. C., Robert I. Jetter, Yanli Wang, and T. L. Sham. Initial Development of an Improved Creep-Fatigue Design Method that Avoids the Separate Evaluation of Creep and Fatigue Damage and Eliminates the Requirement for Stress Classification. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1601808.

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Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.

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This research considers the detection, location, and classification of patches in concrete and asphalt-on-concrete pavements using data taken from ground penetrating radar (GPR) and the WayLink 3D Imaging System. In particular, the project seeks to develop a patching table for “inverted-T” patches. A number of deep neural net methods were investigated for patch detection from 3D elevation and image observation, but the success was inconclusive, partly because of a dearth of training data. Later, a method based on thresholding IRI values computed on a 12-foot window was used to localize pavement distress, particularly as seen by patch settling. This method was far more promising. In addition, algorithms were developed for segmentation of the GPR data and for classification of the ambient pavement and the locations and types of patches found in it. The results so far are promising but far from perfect, with a relatively high rate of false alarms. The two project parts were combined to produce a fused patching table. Several hundred miles of data was captured with the Waylink System to compare with a much more limited GPR dataset. The primary dataset was captured on I-74. A software application for MATLAB has been written to aid in automation of patch table creation.

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