Thermochemical Techniques for Disposal of Municipal Solid Waste Based on the Intuitionistic Fuzzy Hypersoft Evaluation Based on the Distance from the Average Solution Technique

Rana Muhammad Zulqarnain, Hongwei Wang (), Imran Siddique, Rifaqat Ali, Hamza Naveed, Saalam Ali Virk and Muhammad Irfan Ahamad ()
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Rana Muhammad Zulqarnain: School of Economics and Management, Tongji University, No. 1239 Siping Road, Yangpu District, Shanghai 200092, China
Hongwei Wang: School of Economics and Management, Tongji University, No. 1239 Siping Road, Yangpu District, Shanghai 200092, China
Imran Siddique: Department of Mathematics, University of Sargodha, Sargodha 40100, Pakistan
Rifaqat Ali: Department of Mathematics, Applied College in Mohayil Asir, King Khalid University, Abha 62521, Saudi Arabia
Hamza Naveed: Department of Software Engineering, Faculty of Information Technology and Computer Science, University of Central Punjab, Lahore 54000, Pakistan
Saalam Ali Virk: Department of Mathematics, University of Management and Technology, Sialkot 51310, Pakistan
Muhammad Irfan Ahamad: College of Geography and Environmental Science, Henan University, Kaifeng 475004, China

Sustainability, 2025, vol. 17, issue 3, 1-36

Abstract: The processing and disposal of municipal solid waste (MSW) are global problems, particularly in low- to middle-income states like Pakistan. These economic systems will need to tackle problems regarding municipal solid waste disposal to accomplish a sustainable future in waste management. Still, the determination of MSW procedures is frequently influenced by unstable, vague, and inadequately stated criteria. To deal with this issue, we designed an interactive model that uses intuitionistic fuzzy hypersoft sets (IFHSSs) to find the optimal thermochemical processing system for MSW. The main objective of this research is to define interactional operational laws for intuitionistic fuzzy hypersoft numbers and to use these laws to build interaction aggregation operators (AOs) and ordered AOs along with their basic characteristics. Based on developed operators, a novel Evaluation Based on the Distance from the Average Solution (EDAS) technique is proposed to integrate multiple attribute group decision making (MAGDM) issues. The suggested strategy is used to analyze five thermochemical treatment techniques for MSW, using a case study focusing on Pakistan’s particular MSW administration problems to choose the most economical technique. Therefore, the new structure is assessed with established methodologies to illustrate its stability. The comparison of results proves that the implications of the stated approach will be more effective and capable than the existing approaches.

Keywords: intuitionistic fuzzy hypersoft set; interactive aggregation operators; EDAS method; multiple attribute group decision making; thermochemical techniques; municipal solid waste (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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