Title :
A novel method of the Rough Interval-valued Intuitionistic Fuzzy Sets
Author :
Li, Xia ; Xue, Zhan-Ao ; Wei, Li-ping ; Cen, Feng
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
Abstract :
In this paper, by combining the rough sets theory and intuitionistic fuzzy special sets theory, the model of the rough interval-valued intuitionistic fuzzy sets is defined, some basic operations of the model are given, and the properties of the model are discussed. The discussion is the emphasis in the properties of complement. By discussing, co-normality, normality, duality are established in rough interval-valued intuitionistic fuzzy sets, multiplication and addition are not.
Keywords :
fuzzy set theory; rough set theory; interval-valued; intuitionistic fuzzy sets; rough sets theory; Cybernetics; Educational institutions; Electronic mail; Fuzzy set theory; Fuzzy sets; Information technology; Machine learning; Rough sets; Set theory; Uncertainty; Interval-valued; Interval-valued Intuitionistic Fuzzy Sets; Rough Interval-valued Intuitionistic Fuzzy Sets;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212534
