Circular Intuitionistic Fuzzy Soft Set Theoretic Approach to Decision Making Problems
Document Type
Article
Publication Title
IEEE Access
Abstract
Molodtsov introduced soft set theory as a versatile mathematical tool for handling uncertainty. However, classical soft sets may not effectively address imprecise and fuzzy parameters. To overcome this limitation, this paper proposes the concept of circular intuitionistic fuzzy soft set theory, which combines circular intuitionistic fuzzy set theory and soft set theory. This paper defines operations such as complement, 'min-AND', 'max-AND', 'min-OR', 'max-OR', 'min-union', 'max-union', 'min-intersection', 'max-intersection', necessity and possibility on circular intuitionistic fuzzy soft sets, and discusses their basic properties. The main objective is to address decision-making problems within the framework of intuitionistic fuzzy soft sets and generalize them to a circular intuitionistic fuzzy soft set-based decision-making approach, aiming for more effective problem modeling and solution.
First Page
144818
Last Page
144836
DOI
10.1109/ACCESS.2024.3472215
Publication Date
1-1-2024
Recommended Citation
Unni, Adithya; John, Sunil Jacob; and Baiju, T., "Circular Intuitionistic Fuzzy Soft Set Theoretic Approach to Decision Making Problems" (2024). Open Access archive. 10663.
https://impressions.manipal.edu/open-access-archive/10663
