Circular Intuitionistic Fuzzy ELECTRE Approach: A Novel Multiple-Criteria Choice Model.

Saved in:
Bibliographic Details
Title: Circular Intuitionistic Fuzzy ELECTRE Approach: A Novel Multiple-Criteria Choice Model.
Authors: Chen, Ting-Yu1 (AUTHOR) tychen@mail.cgu.edu.tw
Source: Informatica. 2024, Vol. 35 Issue 4, p775-806. 32p.
Subjects: Boolean matrices, Trigonometric functions, Comparative studies, Decision making, Ambiguity
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. [ABSTRACT FROM AUTHOR]
Copyright of Informatica is the property of Vilnius University, Institute of Data Science & Digital Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:08684952
DOI:10.15388/24-INFOR575