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

Ayasrah, Omar and Faiz, Mohd Turan (2021) Multi-Criteria Decision-Making Model using Intuitionistic Fuzzy Entropy and Variable Weight Theory. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 3 (1). pp. 18-26. ISSN 2637-0883. (Published)

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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.

Item Type: Article
Uncontrolled Keywords: Intuitionistic Fuzzy Entropy, Exponential Intuitionistic Fuzzy Entropy, Intuitionistic Fuzzy TOPSIS, MCDM
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Noorul Farina Arifin
Date Deposited: 03 Dec 2021 04:04
Last Modified: 03 Dec 2021 04:04
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