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An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques

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Abstract

This paper intends to propose a multi-attribute group decision making (MAGDM) methodology based on MULTIMOORA under IFS theory for application in the assessment of solid waste management techniques. The present work is divided into three folds. The first fold is that some novel operational laws for intuitionistic fuzzy numbers are introduced and a series of aggregation operators based on them are developed. The properties related to new operations are discussed in detail. The second fold is that particle swarm optimization (PSO) algorithm is applied for attribute weight determination by formulating a non-linear optimization model with the goal of maximizing the distance of each alternative from negative ideal solution and minimizing the distance from positive ideal solution. Lastly, a MAGDM method based on MULTIMOORA is put forward and is applied in ranking different solid waste management techniques by taking various social, economical, environmental and technological factors into consideration. The reliability and effectiveness of the proposed methodology is explored by comparing the obtained results with several existing studies. The sensitivity analysis is done by taking different parameter values in order to show the stability of the proposed method.

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  1. School of Mathematics, Thapar Institute of Engineering, Technology, Deemed University, Patiala, 147004, Punjab, India

    Harish Garg & Dimple Rani

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  1. Harish Garg
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  2. Dimple Rani
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Correspondence to Harish Garg.

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Garg, H., Rani, D. An efficient intuitionistic fuzzy MULTIMOORA approach based on novel aggregation operators for the assessment of solid waste management techniques. Appl Intell 52, 4330–4363 (2022). https://doi.org/10.1007/s10489-021-02541-w

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