Neutrosophic Fuzzy MAGDM using
Maximal Entropy OWA Weights

A.Solairaju; M.Shajahan

doi:https://doi.org/10.14445/22315373/IJMTT-V60P527

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 60 | Number 3 | Year 2018 | Article Id. IJMTT-V60P527 | DOI : https://doi.org/10.14445/22315373/IJMTT-V60P527

Neutrosophic Fuzzy MAGDM using Maximal Entropy OWA Weights

A.Solairaju, M.Shajahan

Citation :

A.Solairaju, M.Shajahan, "Neutrosophic Fuzzy MAGDM using Maximal Entropy OWA Weights," International Journal of Mathematics Trends and Technology (IJMTT), vol. 60, no. 3, pp. 173-179, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V60P527

Abstract

The attribute weights calculated from completely unknown information using the Maximal Entropy OWA weights. The neutrosophic fuzzy ordered weighted averaging (NFOWA) operator is utilized to aggregate all individual neutrosophic fuzzy decision matrices provided by the decision-makers into the collective neutrosophic fuzzy decision matrix, and then we use the obtained attribute weights and the neutrosophic fuzzy hybrid averaging (NFHA) operator to fuse the neutrosophic fuzzy information in the collective neutrosophic fuzzy decision matrix to get the overall neutrosophic fuzzy values of alternatives, and then rank the alternatives, and select the most desirable alternative.

Keywords

MAGDM; Ordered Weighted Averaging; Hybrid Averaging Operator; Correlation of neutrosophic fuzzy sets; Entropy weights.

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