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

fYear

2014

Firstpage

77

Lastpage

81

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Theory and Its Applications (iFUZZY), 2014 International Conference on

Print_ISBN

978-1-4799-4590-0

Type

conf

DOI

10.1109/iFUZZY.2014.7091236

Filename

7091236