Optimized model involving forward and inverse problem formulation for the assessment of environmentally sustainable transportation alternatives based on intuitionistic linguistic weighted average

M. Touqeer; Sajeela Fatima; Hafizan Mat Som; Anas A. Salameh; Saad Alahmari; Meshal Shutaywi; Massimiliano Ferrara; Ali Ahmadian

Results in Engineering (Sep 2024)

Optimized model involving forward and inverse problem formulation for the assessment of environmentally sustainable transportation alternatives based on intuitionistic linguistic weighted average

M. Touqeer,
Sajeela Fatima,
Hafizan Mat Som,
Anas A. Salameh,
Saad Alahmari,
Meshal Shutaywi,
Massimiliano Ferrara,
Ali Ahmadian

Affiliations

M. Touqeer: Department of Basic Sciences, University of Engineering and Technology Pakistan, HMC Link Rd, Taxila, 47050, Punjab, Pakistan
Sajeela Fatima: Department of Basic Sciences, University of Engineering and Technology Pakistan, HMC Link Rd, Taxila, 47050, Punjab, Pakistan
Hafizan Mat Som: Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi Petronas, Seri Iskandar, Malaysia
Anas A. Salameh: Department of Management Information Systems, College of Business Administration, Prince Sattam bin Abdulaziz University, 165 Al-Kharj 11942, Saudi Arabia
Saad Alahmari: Department of Computer Science, Applied College, Northern Border University, Arar, Saudi Arabia
Meshal Shutaywi: Department of Mathematics, College of Science & Arts, King Abdul Aziz University, Rabigh, 21911, Saudi Arabia
Massimiliano Ferrara: Decisions Lab, Mediterranea University of Reggio Calabria, Via dell'Università, Reggio Calabria, 89124, Italy; Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey; Corresponding authors.
Ali Ahmadian: Decisions Lab, Mediterranea University of Reggio Calabria, Via dell'Università, Reggio Calabria, 89124, Italy; Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey; Corresponding authors.

Journal volume & issue: Vol. 23
p. 102799

Abstract

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Intuitionistic fuzzy set theory provides a versatile framework for conveying information acquired during the decision-making process, particularly adept at handling indeterminate data. This study aims to devise a robust α-cut approach for intuitionistic linguistic weighted average (ILWA) applied specifically to intuitionistic fuzzy numbers (IFN). The utilization of an extended Jaccard Similarity Measure (EJSM) within the intuitionistic fuzzy context will yield valuable insights into the accuracy of representing linguistic data through the ILWA method. These advancements hold significant implications for selecting environmentally sustainable transportation alternatives and furnish analytical techniques for addressing uncertainty and imprecision across diverse decision-making domains.

Published in Results in Engineering

ISSN: 2590-1230 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Technology
Website: https://www.journals.elsevier.com/results-in-engineering

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