The measure of uncertainty of fuzzy set´s collection: Definition, properties and applications

Author

Ryjov, Alexander

Author_Institution

Dept. of Math. & Mech., Moscow Univ., Russia

fYear

1993

fDate

25-28 Apr 1993

Firstpage

51

Lastpage

54

Abstract

The theory of fuzzy sets is known to be an instrument for the management of uncertainty. The author´s objective is to introduce the concept of fuzziness degree, which is a measure of uncertainty, of some collection of fuzzy sets, and to describe its practical applications. The collection of fuzzy sets is defined. Such structures can be interpreted as a set of values of some fuzzy linguistic scale, or as a set of different alternatives in problem solving and decision-making, or as a description of classes in fuzzy classification and clustering, or as a representation of term-sets of linguistic values etc. The problems of using the results in information retrieval systems are discussed

Keywords

fuzzy set theory; information retrieval; problem solving; uncertainty handling; decision-making; fuzziness degree; fuzzy linguistic scale; fuzzy set´s; information retrieval systems; measure of uncertainty; problem solving; uncertainty; Fuzzy set theory; Fuzzy sets; Humans; Instruments; Intelligent systems; Mathematics; Measurement uncertainty; Mechanical factors; Power capacitors; Problem-solving;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-3850-8

Type

conf

DOI

10.1109/ISUMA.1993.366792

Filename

366792