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TOPSIS amb Desviació Maximitza en Entorn Hesitant difús Neutrosòfic Simplificat×Tècnica per a l'Ordre de Preferència per Similitud a la Solució Ideal×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20191981
Autor originalAkram, M. Naz, S. Smarandache, F.Hwang, C. L., Yoon, K.
TipusSimplified Neutrosophic Hesitant Fuzzy TOPSIS — decision matrix entries are SVNHFEs (each of T, I, F is a finite set of values in [0,1]); weights derived internally via Maximizing Deviation MethodDistance-based (compromise)
Font seminalAkram, M., Naz, S., Smarandache, F. (2019). Generalization of Maximizing Deviation and TOPSIS Method for MADM in Simplified Neutrosophic Hesitant Fuzzy Environment. Symmetry DOI ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
Àlies
Relacionats28
ResumSNHF-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.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompara mètodes: SNHF-TOPSIS · TOPSIS. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare