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Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing Journal, 2009This study simplifies the complicated metric distance method [L.S. Chen, C.H. Cheng, Selecting IS personnel using ranking fuzzy number by metric distance method, Eur. J. Operational Res. 160 (3) 2005 803-820], and proposes an algorithm to modify Chen's Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) [C.T.
Jia-Wen Wang, Ching-Hsue Cheng
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An interval arithmetic based fuzzy TOPSIS model
Expert Systems With Applications, 2009This work suggests a fuzzy TOPSIS model, where ratings of alternatives under criteria and importance weights of criteria are assessed in linguistic values represented by fuzzy numbers. Criteria can be categorized into benefit and cost. Ratings of alternatives versus criteria and the importance weights of criteria are normalized before multiplication ...
Ta-Chung Chu, Yi-Chen Lin
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Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection
Expert Systems With Applications, 2013In the present paper, a novel fuzzy Multiple Attribute Decision Making (MADM) model is proposed for modeling and solving truck selection problem of a land transportation company. As truck selection is a very crucial problem for the land transportation companies, a systematic and scientific approach is necessary for its solution.
Adil Baykasoğlu +2 more
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A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection
Applied Soft Computing Journal, 2014Abstract Supplier selection has become a very critical activity to the performance of organizations and supply chains. Studies presented in the literature propose the use of the methods Fuzzy TOPSIS (Fuzzy Technique for Order of Preference by Similarity to Ideal Solution) and Fuzzy AHP (Fuzzy Analytic Hierarchy Process) to aid the supplier selection ...
FRANCISCO Rodrigues Lima Junior +2 more
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A comparative analysis between fuzzy topsis and simplified fuzzy topsis
AIP Conference Proceedings, 2017Fuzzy Multiple Criteria Decision Making plays an important role in solving problems in decision making under fuzzy environment. Among the popular methods used is the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) where the solution is based on the shortest distance from its positive ideal solution and the farthest ...
Sharifah Aniza Sayed Ahmad, Daud Mohamad
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Enhancing The Discrimination of Alternatives in Fuzzy-Topsis
INFOR: Information Systems and Operational Research, 2015Fuzzy-TOPSIS is one of the most widely applied methods for solving multi-attribute decision making problems.
Éverton Santi +2 more
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An extension of fuzzy TOPSIS for personnel selection
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009Considering the fact that contemporary business settings call for work in groups, team selection and formation is a crucial parameter for the smooth function and therefore the achievement of the specific team and business objectives. The problem of team selection members is particularly complex due to the variety of factors and criteria that need to be
Alecos Michail Kelemenis +1 more
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Complex spherical fuzzy TOPSIS based on entropy
Expert Systems with Applications, 2023© 2022 Elsevier LtdTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a traditional approach, which is quite powerful since it shows the best and worst alternatives at the same time, for solving multi-criteria group decision-making (MCGDM) problems.
Ebru Aydogdu +3 more
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An approach to generalization of fuzzy TOPSIS method
Information Sciences, 2013The TOPSIS method is a technique for establishing order preference by similarity to the ideal solution, and was primarily developed for dealing with real-valued data. This technique is currently one of most popular methods for Multiple Criteria Decision Making (MCDM).
Ludmila Dymova +2 more
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