Circular Intuitionistic Fuzzy ELECTRE Approach: A Novel Multiple-Criteria Choice Model
Volume 35, Issue 4 (2024), pp. 775–806
Pub. online: 11 November 2024
Type: Research Article
Open Access
Received
1 July 2023
1 July 2023
Accepted
1 October 2024
1 October 2024
Published
11 November 2024
11 November 2024
Abstract
This paper presents a multiple-criteria choice model, the circular intuitionistic fuzzy (C-IF) ELECTRE, designed to resolve C-IF ambiguities through built-in circular functions. Joint generalized scoring functions establish contrast relationships between C-IF evaluation values, facilitating concordance and discordance analyses for option ranking. The efficacy of C-IF ELECTRE I and II—leveraging tools such as the prioritization Boolean matrix, average outflows and inflows, and overall net flow—is validated through a multi-expert supplier evaluation, with outcomes benchmarked against alternative methods. A comparative analysis explores the impact of parameter variations, underscoring how integrating C-IF sets with ELECTRE enhances decision-making in complex, multifaceted environments.
References
Alsattar, H.A., Mourad, N., Zaidan, A.A., Deveci, M., Qahtan, S., Jayaraman, V., Khalid, Z. (2024). Developing IoT sustainable real-time monitoring devices for food supply chain systems based on climate change using circular intuitionistic fuzzy set. IEEE Internet of Things Journal, 11(16), 26680–26689.
Kong, X. (2024). Complex circular intuitionistic fuzzy Heronian mean aggregation for dynamic air quality monitoring and public health risk prediction. IEEE Access, in press. https://doi.org/10.1109/ACCESS.2024.3458172.
Biographies
Chen Ting-Yu
T.-Y. Chen is a professor at Chang Gung University, Taiwan, affiliated with the Department of Industrial and Business Management and the Graduate Institute of Management. She holds a BS in transportation engineering, an MS in civil engineering, and a PhD in traffic and transportation from National Chiao Tung University. Her research focuses on multi-criteria decision analysis, fuzzy decision-making, and intelligent management support, earning her recognition as an Honourary Member of the Phi Tau Phi Scholastic Honour Society.