Distance and Similarity Measures for Neutrosophic HyperSoft Set (NHSS) with Construction of NHSS-TOPSIS and Applications
Muhammad Saqlain · Muhammad Riaz · Muhammad Adeel Saleem · Miin-Shen Yang
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Neutrosophic HyperSoft Set (NHSS) is a new approach towards computational intelligence and decision making under uncertainty. In this paper, we first consider distances for NHSS, and then propose similarity measures for NHSS. We also consider aggregated operation for aggregating NHSS decision matrix. TOPSIS (Technique for the order preference by similarity to ideal solution) is a strong approach for multi-criteria decision making (MCDM) which has been studied under various extensions of fuzzy sets. These approaches have drawbacks in depicting fuzzy decision-making information for handling MCDM situations under NHSS environment.
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