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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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The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ewa Roszkowska, Dariusz Kacprzak
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Service Selection Based on Fuzzy TOPSIS Method
2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, 2010With rapid development of service-oriented architecture and cloud computing, web services have been widely adopted for developing various kinds of applications. A set of non-functional requirements such as QoS has become important criteria for service selection.
Chi-Chun Lo +3 more
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A fuzzy TOPSIS based approach for e-sourcing
Engineering Applications of Artificial Intelligence, 2011This study presents a methodology for solving the sealed bid, multi-attribute reverse auction problem of e-sourcing in which the sales item is defined by several attributes, the buyer is auctioneer, and the suppliers are the bidders. There is only one buyer and a number of suppliers.
Singh, Ritesh Kumar, Benyoucef, Lyes
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Cloud Service Selection Using TOPSIS and Fuzzy TOPSIS with AHP and ANP
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017The growing demand and availability of cloud services have triggered the need for comparison of their features available to customers at different prices and performance. It is necessary to be said that relevant and fair comparison is still challenging due to diverse deployment options and unique features of different services. The aim of this paper is
Akshay Jaiswal, R. B. Mishra
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An application of fuzzy Topsis method for supplier selection
International Conference on Fuzzy Systems, 2010Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy ...
Mehmet Sevkli +3 more
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