HYBRID MCDM METHOD ON INTUITIONISTIC FUZZY SET FOR PLASTIC WASTE DISPOSAL TECHNOLOGY

Authors

  • Rishikesh Chaurasiya Department of Mathematics, Jaypee University of Engineering and Technology, Guna, (M. P.), India
  • Divya Jain Department of Mathematics, Jaypee University of Engineering and Technology, Guna, (M. P.), India

Keywords:

Intuitionistic Fuzzy Set (IFS), Decision-Making, Plastic Waste Disposal (PWD), Cocoso Method, MEREC Approach

Abstract

In the present paper a novel hybrid multi-criteria decision-making (MCDM) framework on intuitionistic fuzzy environment is proposed. For the intuitionistic fuzzy-MEREC-SWARA-CoCoSo method for ranking the selection of the topmost substitute in decision-making problems is developed. The objective weights are evaluated by MEREC approach, and subjective criteria weights are assessed using the SWARA approach further the CoCoSo method is used to rank the alternatives on intuitionistic fuzzy set. In recent times, the choice of appropriate plastic waste disposal technology is an immensely important challenge. It has an impact on both ecological and commercial growth of the nation. To deal with the situation, several authors have concentrated on selecting an essential plastic waste disposal technique using a decision-making process based on several IFS methodologies. Here, in this paper a methodology is the presented to identify the best technology for plastic waste disposal. A comparative discussion and analysis are presented to performance the rationality and consistency of the technique evolved to rank optimal plastic waste disposal options.

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Published

2024-03-03

How to Cite

Rishikesh Chaurasiya, & Divya Jain. (2024). HYBRID MCDM METHOD ON INTUITIONISTIC FUZZY SET FOR PLASTIC WASTE DISPOSAL TECHNOLOGY. Operational Research in Engineering Sciences: Theory and Applications, 6(4). Retrieved from http://oresta.org/menu-script/index.php/oresta/article/view/664