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Generalized Intuitionistic Fuzzy Entropy-Based Approach for Solving Multi-attribute Decision-Making Problems with Unknown Attribute Weights

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Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Aims and scope Submit manuscript

Abstract

A new strategy for solving multi-attribute decision-making problem has been presented by using different entropies and unknown attribute weights, where preferences related to the attributes are in the form of interval-valued intuitionistic fuzzy sets. Some generalized properties have also been proved for justification. An illustrative example has been provided to demonstrate and effectiveness the approach along with the sensitivity analysis on the decision-maker parameter.

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Authors and Affiliations

  1. School of Mathematics, Thapar University Patiala, Patiala, Punjab, 147004, India

    Harish Garg

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  1. Harish Garg
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Garg, H. Generalized Intuitionistic Fuzzy Entropy-Based Approach for Solving Multi-attribute Decision-Making Problems with Unknown Attribute Weights. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 89, 129–139 (2019). https://doi.org/10.1007/s40010-017-0395-0

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