Open Access

ARTICLE

An Intelligent MCGDM Model in Green Suppliers Selection Using Interactional Aggregation Operators for Interval-Valued Pythagorean Fuzzy Soft Sets

by Rana Muhammad Zulqarnain¹, Wen-Xiu Ma^1,2,3,*, Imran Siddique⁴, Hijaz Ahmad^5,6, Sameh Askar⁷

1 School of Mathematical Sciences, Zhejiang Normal University, Jinhua, 321004, China
2 Department of Mathematics and Statistics, University of South Florida, Tampa, FL 33620-5700, USA
3 School of Mathematical and Statistical Sciences, North-West University, Mafikeng Campus, Mmabatho, 2735, South Africa
4 Department of Mathematics, University of Sargodha, Sargodha, 40100, Pakistan
5 Section of Mathematics, International Telematic University Uninettuno, Corso Vittorio Emanuele II, Roma, 00186, Italy
6 Near East University, Operational Research Center in Healthcare, Nicosia/Mersin, 99138, Turkey
7 Department of Statistics and Operations Research, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia

* Corresponding Author: Wen-Xiu Ma. Email:

(This article belongs to the Special Issue: Advances in Ambient Intelligence and Social Computing under uncertainty and indeterminacy: From Theory to Applications)

Computer Modeling in Engineering & Sciences 2024, 139(2), 1829-1862. https://doi.org/10.32604/cmes.2023.030687

Received 18 April 2023; Accepted 21 June 2023; Issue published 29 January 2024

Abstract

Green supplier selection is an important debate in green supply chain management (GSCM), attracting global attention from scholars, especially companies and policymakers. Companies frequently search for new ideas and strategies to assist them in realizing sustainable development. Because of the speculative character of human opinions, supplier selection frequently includes unreliable data, and the interval-valued Pythagorean fuzzy soft set (IVPFSS) provides an exceptional capacity to cope with excessive fuzziness, inconsistency, and inexactness through the decision-making procedure. The main goal of this study is to come up with new operational laws for interval-valued Pythagorean fuzzy soft numbers (IVPFSNs) and create two interaction operators-the interval-valued Pythagorean fuzzy soft interaction weighted average (IVPFSIWA) and the interval-valued Pythagorean fuzzy soft interaction weighted geometric (IVPFSIWG) operators, and analyze their properties. These operators are highly advantageous in addressing uncertain problems by considering membership and non-membership values within intervals, providing a superior solution to other methods. Moreover, specialist judgments were calculated by the MCGDM technique, supporting the use of interaction AOs to regulate the interdependence and fundamental partiality of green supplier assessment aspects. Lastly, a statistical clarification of the planned method for green supplier selection is presented.

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Keywords

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