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- W2899212215 abstract "Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is an effective tool for multi-attribute decision making. We present a general overview about the development of TOPSIS strategies in neutrosophic environments. In this chapter, we extend TOPSIS strategy to solve multi-attribute group decision makingMulti-attribute group decision making problems in single valued neutrosophic setSingle valued neutrosophic set as well as interval neutrosophic setInterval neutrosophic set environments. To develop the proposed TOPSIS strategies, the weights of decision makers are determined by using similarity measureSimilarity measure based on Hamming distanceHamming distance . We aggregate each decision maker’s ratings to make common decision using aggregation operators. Employing revised closeness coefficient, we select the best option in the proposed TOPSIS strategies. To demonstrate the applicability and effectiveness of the proposed TOPSIS strategy, we solve two numerical examples of multi-attribute group decision makingGroup decision making problems." @default.
- W2899212215 created "2018-11-09" @default.
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- W2899212215 creator A5021145070 @default.
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- W2899212215 date "2018-11-04" @default.
- W2899212215 modified "2023-09-24" @default.
- W2899212215 title "Neutrosophic TOPSIS with Group Decision Making" @default.
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- W2899212215 doi "https://doi.org/10.1007/978-3-030-00045-5_21" @default.
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