The interval valued intuitionistic fuzzy set (IVIFS) serves as a powerful and effective framework for representing the genuine preferences of decision makers (DMs) and managing imprecise information. The objective of this study is twofold. First, a novel score function is developed to defuzzify interval valued intuitionistic fuzzy numbers (IVIFNs), and its fundamental properties are examined. Second, two methods are proposed to address multiple attribute decision making (MADM) problems based on the IVIFS framework, where the performance ratings of alternatives with respect to various attributes are expressed in terms of IVIFNs. The proposed methods assign different degrees of importance to each attribute and incorporate a demand function that reflects the satisfaction requirements of the DM. Using this demand function, the DM can determine the most suitable alternative or establish a ranking among the available alternatives. Finally, three test-based validity criteria and a numerical example are presented to demonstrate the rationality and effectiveness of the proposed methods.
Interval Valued Intuitionistic Fuzzy Set Theoretic Approach for Decision Making Problem using a New Score Function
Published 2025 in International Journal of Scientific Research in Computer Science Engineering and Information Technology
ABSTRACT
PUBLICATION RECORD
- Publication year
2025
- Venue
International Journal of Scientific Research in Computer Science Engineering and Information Technology
- Publication date
2025-11-05
- Fields of study
Not labeled
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-18 of 18 references · Page 1 of 1
CITED BY
- No citing papers are available for this paper.
Showing 0-0 of 0 citing papers · Page 1 of 1