MCDMRankinghesitant

TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment

SNHF-TOPSIS (TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M. Naz, S. Smarandache, F. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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Sources

  1. Akram, M., Naz, S., Smarandache, F. (2019). Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment. Symmetry DOI: 10.3390/sym11081058

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ScholarGateSNHF-TOPSIS (TOPSIS with Maximizing Deviation in Simplified Neutrosophic Hesitant Fuzzy Environment). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/snhf-topsis