Title :
Generalization of fuzzy sets type-2, fuzzy quantifiers sets and α-cut fuzzy sets fuzzy temporal sets, fuzzy granular sets and fuzzy rough sets for incomplete information
Author :
Venkata Subba Reddy, P.
Author_Institution :
Sri Venkateswara Univ., Tirupati, India
Abstract :
The fuzzy logic deals incomplete information with belief rather than probability. The fuzzy propositions deal with incomplete information. In this paper, a new representation of fizzy set typ-2, fuzzy set α-cut and fuzzy temporal set occurs in fuzzy propositions. These fuzzy quantifiers set, fizzy set typ-2, fuzzy set α-cut ,fuzzy temporal sets, fuzzy granular sets and fuzzy rough sets are studied. These are generalized and quantified under single category. This work is only trying to overcome difficulties in computations.
Keywords :
fuzzy logic; fuzzy set theory; rough set theory; α-Cut fuzzy sets; fuzzy granular sets; fuzzy logic; fuzzy quantifiers sets; fuzzy rough sets; fuzzy sets type-2 generalization; fuzzy temporal sets; incomplete information; Blood pressure; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Pragmatics; Rough sets; Sociology; α-cut fuzzy set; fuzzy logic; fuzzy quantifiers; fuzzy rough sets; fuzzy sets type-2; fuzzy temporal set. fuzzy granular sets;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2014 International Conference on
Print_ISBN :
978-1-4799-4590-0
DOI :
10.1109/iFUZZY.2014.7091236
