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A Measure of Divergence between Fuzzy Sets with Advancements in Information Theory

Published on March 2014 by Priti Gupta, H. D. Arora, Pratiksha Tiwari
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International Conference on Advances in Computer Engineering and Applications
Foundation of Computer Science USA
ICACEA - Number 3
March 2014
Authors: Priti Gupta, H. D. Arora, Pratiksha Tiwari
f31a9254-8513-422a-b863-7257ac399474

Priti Gupta, H. D. Arora, Pratiksha Tiwari . A Measure of Divergence between Fuzzy Sets with Advancements in Information Theory. International Conference on Advances in Computer Engineering and Applications. ICACEA, 3 (March 2014), 6-10.

@article{
author = { Priti Gupta, H. D. Arora, Pratiksha Tiwari },
title = { A Measure of Divergence between Fuzzy Sets with Advancements in Information Theory },
journal = { International Conference on Advances in Computer Engineering and Applications },
issue_date = { March 2014 },
volume = { ICACEA },
number = { 3 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/icacea/number3/15624-1418/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Engineering and Applications
%A Priti Gupta
%A H. D. Arora
%A Pratiksha Tiwari
%T A Measure of Divergence between Fuzzy Sets with Advancements in Information Theory
%J International Conference on Advances in Computer Engineering and Applications
%@ 0975-8887
%V ICACEA
%N 3
%P 6-10
%D 2014
%I International Journal of Computer Applications
Abstract

Uncertainty and fuzziness are involved in most of the real world problems. In present communication we have studied various advancements in fuzzy information theory and proposed a new measure of divergence between two fuzzy sets. Further, a measure of fuzzy directed divergence was developed based on the proposed divergence measure. Some properties of this fuzzy directed divergence measure were established.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Information Theory Fuzzy Information Theory Entropy Divergence Fuzzy Directed Divergence.