Multi-Criteria Decision-Making Model using Intuitionistic Fuzzy Entropy and Variable Weight Theory

Authors

  • Omar Ayasrah Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.
  • Faiz Mohd Turan Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia.

DOI:

https://doi.org/10.15282/mekatronika.v3i1.7025

Keywords:

Intuitionistic Fuzzy Entropy, Exponential Intuitionistic Fuzzy Entropy, Intuitionistic Fuzzy TOPSIS, MCDM

Abstract

The aim of this research is to develop a new multi-criteria decision-making method that integrates an intuitionistic fuzzy entropy measure and variable weight theory to be implemented in different fields to provide a solution for MCDM problems when the available information is incomplete. A limited number of studies have considered determining decision maker’s weights by performing objective techniques, and almost all of these researches detected a constant weights for the decision makers. In addition, most of the MCDM studies were not formulated to perform sensitivity analysis. The new method is based on the TOPSIS model with an intuitionistic fuzzy entropy measure in the exponential-related function form and the engagement of the variable weight theory to determine weights for the decision-makers that vary as per attibutes. Lastly, a mathematical model was developed in this research to be as an input for developing the mobile-aplication based method in future for virtual use of the new MCDM method.

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Published

2021-06-16

How to Cite

[1]
O. Ayasrah and F. Mohd Turan, “Multi-Criteria Decision-Making Model using Intuitionistic Fuzzy Entropy and Variable Weight Theory”, Mekatronika: J. Intell. Manuf. Mechatron., vol. 3, no. 1, pp. 18–25, Jun. 2021.

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Section

Original Article