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

Year: 2024
Type: article
Abstract: 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.
DOI: 10.1016/j.rineng.2024.102799
Authors: M. Touqeer, Sajeela Fatima, Hafizan Mat Som, Anas A. Salameh, Saad Alahmari, Meshal Shutaywi, Massimiliano Ferrara, Ali Ahmadian
Institutions: University of Engineering and Technology Taxila, Prince Sattam Bin Abdulaziz University, Northern Border University, King Abdulaziz University, King Abdul Aziz University Hospital, University of Reggio Calabria, Okan University
Language: English
Open Access status: gold
Estimated APC paid: $1,490
OpenAlex ID: W4402035487
FWCI: 0.316
Cites: 29
Cited by: 1
Related to: 10