doi: 10.7763/IJCTE.2012.V4.507
Intuitionistic Fuzzy Interval Information System
Geetha Sivaraman
,
V. Lakshmana Gomathi Nayagam ,
R. Ponalagusamy
- PI (WOS-A), DST India, Department of Mathematics, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.
Abstract
The notion of fuzzy subsets was introduced to model imprecision, ambiguity and uncertainty. Further it was generalized to intuitionistic fuzzy subsets and interval valued intuitionistic fuzzy subsets for their usefulness and applicability.In recent years, several ranking approaches based on dominance relations have been developed, in which a dominance degree and an entire dominance degree are employed in information system. Even though the theory of fuzzy sets paved a way to decision making from qualitative information, it can not be used to apply in problem with a qualitative information with lack of knowledge. So in this paper an intuitionistic fuzzy interval information system (IFIIS) is introduced and an approach of ranking from IFIIS based on the dominance degree is introduced and studied by illustrating an example.
Keywords
- Interval valued intuitionistic fuzzy sets
- information system
- new novel accuracy score
- dominance degree
How to Cite
Geetha Sivaraman, V. Lakshmana Gomathi Nayagam, and R. Ponalagusamy, "Intuitionistic Fuzzy Interval Information System," International Journal of Computer Theory and Engineering, vol. 4, no. 3, pp. 459-461, 2012. https://doi.org/10.7763/IJCTE.2012.V4.507
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).