Abstract
Based on a new distance measure, this study proposes an intuitionistic FTOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) and an intuitionistic FVIKOR (Fuzzy VLSE Kriterijumska Optimizacija Kompromisno Resenje) method. We have developed a novel IFN (intuitionistic fuzzy number) distance metric and used it to calculate separation measure, collective utility, and personal regret. It is used to tackle MCDM (Multi-Criteria Decision-Making) situations where the weights of the parameters are unknown and the alternatives are ranked using IFNs (intuitionistic fuzzy numbers). Through numerical examples, a comparison of these two techniques is explained.
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Kamble, P.N., Parveen, N. (2022). Extended TOPSIS and VIKOR Methods Based on a New Distance Measure of Intuitionistic Fuzzy Number. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1653-3_37
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DOI: https://doi.org/10.1007/978-981-19-1653-3_37
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