Rough-fuzzy membership functions

Author

Sarkar, Mohanchur ; Yegnanarayana, B.

Author_Institution

Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras, India

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

796

Abstract

This paper generalizes the concept of rough membership functions in pattern classification tasks to rough-fuzzy membership functions. Unlike the rough membership value of a pattern, which is sensitive only towards the rough uncertainty associated with the pattern, the rough-fuzzy membership value of the pattern signifies the rough uncertainty as well as the fuzzy uncertainty associated with the pattern. In this paper, various set theoretic properties of the rough-fuzzy membership functions are exploited to characterize the concept of rough-fuzzy sets and to measure the rough-fuzzy ambiguity associated with a given output class. Finally, a few possible applications of the rough-fuzzy membership functions are mentioned

Keywords

entropy; fuzzy set theory; pattern classification; uncertainty handling; entropy; fuzzy set theory; fuzzy uncertainty; pattern classification; rough uncertainty; rough-fuzzy membership functions; Computer science; Data mining; Entropy; Fuzzy sets; Humans; Marine vehicles; Pattern classification; Rough sets; Shape; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687592

Filename

687592