Academic literature on the topic 'Fuzzy multicriteria decision-making'

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Journal articles on the topic "Fuzzy multicriteria decision-making"

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Yager, Ronald R. "Multicriteria Decision-Making Using Fuzzy Measures." Cybernetics and Systems 46, no. 3-4 (2015): 150–71. http://dx.doi.org/10.1080/01969722.2015.1012884.

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Grabisch, Michel. "Fuzzy integral in multicriteria decision making." Fuzzy Sets and Systems 69, no. 3 (1995): 279–98. http://dx.doi.org/10.1016/0165-0114(94)00174-6.

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Wang, Hsiao-Fan. "Fuzzy multicriteria decision making—an overview." Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology 9, no. 1-2 (2000): 61–83. https://doi.org/10.3233/ifs-2000-119.

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Rolka, Leszek, Alicja Mieszkowicz-Rolka, and Grzegorz Drupka. "Multicriteria decision-making in flight route selection." Aircraft Engineering and Aerospace Technology 92, no. 9 (2020): 1377–84. http://dx.doi.org/10.1108/aeat-12-2019-0245.

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Purpose This paper aims to present a hybrid logical-arithmetic approach for selecting optimal flight routes. It can be used in the framework of free route airspace (FRA), which is aimed at achieving higher efficiency of air traffic management. Design/methodology/approach At the first stage, an initial subset of flight routes is selected that are promising alternatives with respect to single numerical criteria. At the second stage, a hybrid multicriteria decision model is constructed, consisting of numerical criteria and additional linguistic criteria. At the third stage, the numerical and ling
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Kahraman, Cengiz, Sezi Cevik Onar, and Basar Oztaysi. "Fuzzy Multicriteria Decision-Making: A Literature Review." International Journal of Computational Intelligence Systems 8, no. 4 (2015): 637–66. http://dx.doi.org/10.1080/18756891.2015.1046325.

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Zaychenko, Olena Yu, and Yuriy P. Zaychenko. "Multicriteria decision-making problems under fuzzy conditions." System research and information technologies, no. 4 (November 15, 2016): 79–87. http://dx.doi.org/10.20535/srit.2308-8893.2016.4.08.

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Satyadas, Antony, and H. C. Chen. "Multicriteria multigoal decision making - the fuzzy paradigm." Computers & Industrial Engineering 23, no. 1-4 (1992): 393–96. http://dx.doi.org/10.1016/0360-8352(92)90144-9.

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Ye, Jufeng. "Aggregation Operators of Trapezoidal Intuitionistic Fuzzy Sets to Multicriteria Decision Making." International Journal of Intelligent Information Technologies 13, no. 4 (2017): 1–22. http://dx.doi.org/10.4018/ijiit.2017100101.

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This paper presents the trapezoidal intuitionistic fuzzy weighted averaging (TIFWA) operator, trapezoidal intuitionistic fuzzy ordered weighted averaging (TIFOWA) operator, trapezoidal intuitionistic fuzzy weighted geometric (TIFWG) operator, and trapezoidal intuitionistic fuzzy ordered weighted geometric (TIFOWG) operator to aggregate the trapezoidal intuitionistic fuzzy information and investigates their properties. Furthermore, a multicriteria decision making method based on the TIFOWA and TIFOWG operators and the score function and accuracy function of a trapezoidal intuitionistic fuzzy nu
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Wibowo, Santoso, and Srimannarayana Grandhi. "Benchmarking knowledge management practices in small and medium enterprises." Benchmarking: An International Journal 24, no. 5 (2017): 1215–33. http://dx.doi.org/10.1108/bij-01-2016-0013.

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Purpose The purpose of this paper is to formulate the process of measuring and benchmarking the performance of knowledge management (KM) practices as a multicriteria group decision-making problem and present a new multicriteria group decision-making approach for effectively evaluating the performance of KM practices to meet the interests of various stakeholders in small and medium enterprises (SMEs). Design/methodology/approach A new multicriteria group decision-making approach is developed for evaluating the performance of KM practices of individual SMEs. Intuitionistic fuzzy numbers are used
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Carnero, María Carmen. "Fuzzy Multicriteria Models for Decision Making in Gamification." Mathematics 8, no. 5 (2020): 682. http://dx.doi.org/10.3390/math8050682.

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Gamification is an innovative teaching technique that may prove hugely beneficial when properly used. For this reason, since 2002, the number of situations in which gamification is used has increased exponentially. This large number of options makes it difficult to choose the best application, especially in circumstances where there is the usual uncertainty that real-life decision making involves. To address this problem, this study creates two models, one using a fuzzy analytic hierarchy process (AHP), and the other, which combines fuzzy AHP with the measuring attractiveness by a categorical-
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Dissertations / Theses on the topic "Fuzzy multicriteria decision-making"

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Wagholikar, Amol S., and N/A. "Acquisition of Fuzzy Measures in Multicriteria Decision Making Using Similarity-based Reasoning." Griffith University. School of Information and Communication Technology, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20071214.152324.

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Continuous development has been occurring in the area of decision support systems. Modern systems focus on applying decision models that can provide intelligent support to the decision maker. These systems focus on modelling the human reasoning process in situations requiring decision. This task may be achieved by using an appropriate decision model. Multicriteria decision making (MCDM) is a common decision making approach. This research investigates and seeks a way to resolve various issues associated with the application of this model. MCDM is a formal and systematic decision making approach
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Wagholikar, Amol S. "Acquisition of Fuzzy Measures in Multicriteria Decision Making Using Similarity-based Reasoning." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365403.

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Continuous development has been occurring in the area of decision support systems. Modern systems focus on applying decision models that can provide intelligent support to the decision maker. These systems focus on modelling the human reasoning process in situations requiring decision. This task may be achieved by using an appropriate decision model. Multicriteria decision making (MCDM) is a common decision making approach. This research investigates and seeks a way to resolve various issues associated with the application of this model. MCDM is a formal and systematic decision making approach
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Caetani, Alberto Pavlick. "Uso de método multicritério para seleção de estratégia de reconversão industrial em uma refinaria de petróleo." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/101513.

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Este trabalho apresenta o processo de seleção de estratégia de reconversão industrial de uma pequena refinaria de petróleo no Sul do Brasil através da aplicação de uma modelagem integrada, utilizando um método multicriterial e programação matemática. Neste estudo foram identificadas linhas de negócio potencialmente aplicáveis à realidade da companhia e definido um conjunto de critérios de análise abrangendo as três dimensões da sustentabilidade empresarial: econômica, social e ambiental. Com base na avaliação da importância relativa de cada critério, atribuída por um grupo de decisores, e no d
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Almulhim, Tarifa Saleh M. "Development of a hybrid fuzzy multi-criteria decision making model for selection of group health insurance plans." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/development-of-a-hybrid-fuzzy-multicriteria-decision-making-model-for-selection-of-group-health-insurance-plans(9e687f14-38df-45dd-9315-70d18aac6455).html.

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A group health insurance plan is an insurance plan that provides healthcare coverage to a selected group of people. In various countries, group health insurance plans are one of the major benefits offered through employers in the private sector. In recent years, the numbers of group health insurance plans offered in the market of health insurance have been increasing rapidly. This is due to compulsory government policies, which are imposed on employers in the private sector leading to an increasing demand for this insurance plan. Accordingly, employers may face a wide variety of available grou
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Junior, Francisco Rodrigues Lima. "Comparação entre os métodos Fuzzy TOPSIS e Fuzzy AHP no apoio à tomada de decisão para seleção de fornecedores." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-12092013-103003/.

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A seleção de fornecedores tem impacto significante no custo e na qualidade de produtos manufaturados. Por isso, a seleção de fornecedores passou a ser vista como uma atividade bastante crítica para o desempenho da empresa compradora. Muitos estudos da literatura propõem o uso dos métodos multicritério fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) e fuzzy AHP (Analytic Hierarchy Process) para apoiar a seleção de fornecedores. Contudo, não são encontrados estudos que avaliem o desempenho destes métodos quando usados neste domínio de problema. Diante desta lacun
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Koort, Hannes. "Room for More of Us? : Important Design Features for Informed Decision-Making in BIM-enabled Facility Management." Thesis, Uppsala universitet, Människa-datorinteraktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447217.

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Building Information Modeling (BIM) is becoming imperative across building disciplines to improve communication and workflow from the first blueprint. Maintenance and facility management is however lagging behind in adoption and research of BIM. Utilizing research-through-design, this study explores BIM-enabled facility management and the critical practice of decision-making at the Celsius building in Uppsala. Contextual design and inquiry were applied to identify and suggest important design features that support decisions related to the task of establishing maximum room occupation. Results s
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Barin, Alexandre. "Seleção de sistemas de geração de energia elétrica a partir de resíduos sólidos urbanos: uma abordagem com a lógica difusa." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/3668.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Sustainability is becoming a major driving force in energy policy, leading to the development of different strategies and projects. Many of these strategies are related to the application of novel methodologies for selecting Renewable Energy Systems (RES) and energy storage systems. Electrical generation with biogas from municipal solid waste (MSW) is one of the main alternatives to concern all the conceptions of sustainability - social, economic and environmental constrains. The complexity of sustainability and energy planning m
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Hsiao, Ya-Yun, and 蕭雅云. "Applying Fuzzy Multicriteria Decision-Making for Evaluating IS Outsourcing Alternatives." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/91218493372969659891.

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碩士<br>義守大學<br>資訊管理學系碩士班<br>95<br>Through the significant improvement of technology, the information technology keeps weeding through the old to bring fort the new. In order to go with the stream, increase operation efficiency, maintain the more complex information system availability, and update functions frequently, most corporations need the assistance from professional companies. To outsource the information system which is not the core ability of corporations, not only can reduce the costs of building system, but help corporations to focus on their particular field. Besides, choosing an ap
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Chen, Shi-Jay, and 陳士杰. "An Intelligent Fuzzy Multicriteria Decision Making System--Integrating Default Logic and Fuzzy Ranking Knowledge Base." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/38805924423543354493.

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碩士<br>朝陽大學<br>資訊管理系碩士班<br>87<br>Because the traditional multiple attribute decision methods have to request the crisp number from the decision maker which number is difficult to express the linguistic characteristic of the criteria or the weights. Therefore, many studies utilize fuzzy set theory in the application of decision making to resolve this problem. The decision method to handle fuzzy (non-crisp) criteria is hence called Fuzzy Multiple Attribute Decision Making (FMADM). Generally, the process of FMADM consists of two important parts : the fuzzy aggregation judgment and the f
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Wang, Chih-huang, and 王志煌. "New Methods for Handling Fuzzy Risk Analysis Problems and Prioritized Multicriteria Decision Making Problems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/97d57z.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>In this thesis, we present a new approach for fuzzy risk analysis based on the ranking of fuzzy numbers. First, we present a new method for ranking fuzzy numbers using the α-cuts, the belief features and the signal/noise ratios of fuzzy numbers. The proposed method can overcome the drawbacks of some existing methods for ranking fuzzy numbers. Then, we apply the proposed fuzzy ranking method to present a fuzzy risk analysis algorithm to deal with fuzzy risk analysis problems. The proposed fuzzy risk analysis algorithm can provide a useful way to deal with fuzzy
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Books on the topic "Fuzzy multicriteria decision-making"

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470974032.

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Pedrycz, Witold. Models and algorithms of fuzzy multicriteria decision-making and their applications. John Wiley & Sons, 2011.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making. Wiley & Sons, Incorporated, John, 2010.

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Roubens, M. R., and J. C. Fodor. Fuzzy Preference Modelling and Multicriteria Decision Support. Springer London, Limited, 2013.

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Fuzzy Preference Modelling and Multicriteria Decision Support. Springer Netherlands, 2010.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. Wiley & Sons, Incorporated, John, 2011.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. Wiley & Sons, Limited, John, 2010.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. Wiley & Sons, Incorporated, John, 2011.

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Pedrycz, Witold, Petr Ekel, and Roberta Parreiras. Fuzzy Multicriteria Decision-Making: Models, Methods and Applications. Wiley & Sons, Limited, John, 2010.

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Pedrycz, Witold, Petr Ekel, and Joel Jr Pereira. Multicriteria Decision-Making under Conditions of Uncertainty: A Fuzzy Set Perspective. Wiley & Sons, Incorporated, John, 2019.

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Book chapters on the topic "Fuzzy multicriteria decision-making"

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Carlsson, Christer, and Robert Fullér. "Fuzzy Multicriteria Decision Making." In Fuzzy Reasoning in Decision Making and Optimization. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1805-5_2.

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El Alaoui, Mohamed. "Frequently Used Multicriteria Decision-Making Methods." In Fuzzy TOPSIS. CRC Press, 2021. http://dx.doi.org/10.1201/9781003168416-4-4.

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Fodor, János, and Marc Roubens. "Multiple criteria decision making." In Fuzzy Preference Modelling and Multicriteria Decision Support. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1648-2_7.

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Zhukovin, Vladimir E. "A Fuzzy Multicriteria Decision Making Model." In Optimization Models Using Fuzzy Sets and Possibility Theory. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3869-4_14.

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Mohanty, Anita, Ambarish G. Mohapatra, Subrat Kumar Mohanty, and Abhijit Mohanty. "Fuzzy Systems for Multicriteria Optimization." In Multi-Criteria Decision-Making and Optimum Design with Machine Learning. CRC Press, 2024. http://dx.doi.org/10.1201/9781032635170-2.

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D’Apuzzo, Livia, Massimo Squillante, and Aldo G. S. Ventre. "Extending Aggregation Operators for Multicriteria Decision Making." In Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2109-2_9.

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Lavić, Zedina, and Sabina Dacić-Lepara. "Fuzzy Multicriteria Decision Making Model for HPP Alternative Selection." In Advanced Technologies, Systems, and Applications III. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02574-8_6.

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Cables, E., M. T. Lamata, and J. L. Verdegay. "FRIM—Fuzzy Reference Ideal Method in Multicriteria Decision Making." In Soft Computing Applications for Group Decision-making and Consensus Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60207-3_19.

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Zaychenko, Yuriy, and Helen Zaichenko. "Multicriteria Decision-Making Problems Under Uncertainty and Their Solution." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_111.

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Kahraman, Cengiz, Fatma Kutlu Gündoğdu, Ali Karaşan, and Eda Boltürk. "Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development." In Studies in Systems, Decision and Control. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42188-5_15.

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Conference papers on the topic "Fuzzy multicriteria decision-making"

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Homenda, Wladyslaw, Agnieszka Jastrzebska, Witold Pedrycz, Fusheng Yu, and Yihan Wang. "Multicriteria Decision Making: Scale, Polarity, Symmetry, Interpretability." In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177705.

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Ali, Rekik, Temani Moncef, and Ghedira Khaled. "Fuzzy model for multicriteria decision making." In 2014 Information and Communication Technologies Innovation and Application (ICTIA). IEEE, 2014. http://dx.doi.org/10.1109/ictia.2014.7883753.

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Wani, M. F. "Tribomaterial Evaluation and Ranking Using Fuzzy Multicriteria Decision Making." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95732.

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A procedure based on fuzzy multicriteria decision making is developed for evaluation and ranking of tribomaterials. Tribomaterial properties which influence performance of triboelements at operational stage are considered as criteria for evaluation of tribomaterial. Tribomaterial properties, weighting factors and desired values are converted into fuzzy membership functions called trapezoidal fuzzy numbers. Tribomaterial ranking index is evaluated from weighted fuzzy tribomaterial suitability value for various degrees of optimism through a series of fuzzy arithmetic operations. Higher the value
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Dror-Rein, Elana, and Harvey B. Mitchell. "Fuzzy multicriteria decision making in the assignment problem." In Optical Science, Engineering and Instrumentation '97, edited by Oliver E. Drummond. SPIE, 1997. http://dx.doi.org/10.1117/12.279535.

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Kong, Feng, Zhiguang Zhang, and Ying Liu. "Selection of Suppliers Based on Fuzzy Multicriteria Decision Making." In 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2008. http://dx.doi.org/10.1109/fskd.2008.52.

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Le, Sun, Hai Dong, Farookh Khadeer Hussain, Omar Khadeer Hussain, Jiangang Ma, and Yanchun Zhang. "Multicriteria decision making with fuzziness and criteria interdependence in cloud service selection." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891892.

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Tom, Mary. "Computational intelligence using Fuzzy Multicriteria Decision Making for DIligenS: Dietary Intelligence System." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250824.

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"MULTICRITERIA DECISION MAKING IN BALANCED MODEL OF FUZZY SETS." In 4th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001620500400046.

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Zeng-Tai Gong and Yan Ma. "Multicriteria fuzzy decision making method under interval-valued intuitionistic fuzzy environment." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212362.

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Hongmei, Ju. "Multicriteria Fuzzy Decision-making Methods Based on Interval-valued Fuzzy Sets." In 2012 Fifth International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2012. http://dx.doi.org/10.1109/icicta.2012.61.

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