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On Exponential Fuzzy Measures of Information and Discrimination

by Arunodaya Raj Mishra, Dhara Singh Hooda, Divya Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 23
Year of Publication: 2015
Authors: Arunodaya Raj Mishra, Dhara Singh Hooda, Divya Jain
10.5120/21373-3712

Arunodaya Raj Mishra, Dhara Singh Hooda, Divya Jain . On Exponential Fuzzy Measures of Information and Discrimination. International Journal of Computer Applications. 119, 23 ( June 2015), 1-7. DOI=10.5120/21373-3712

@article{ 10.5120/21373-3712,
author = { Arunodaya Raj Mishra, Dhara Singh Hooda, Divya Jain },
title = { On Exponential Fuzzy Measures of Information and Discrimination },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 23 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number23/21373-3712/ },
doi = { 10.5120/21373-3712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:48.057027+05:30
%A Arunodaya Raj Mishra
%A Dhara Singh Hooda
%A Divya Jain
%T On Exponential Fuzzy Measures of Information and Discrimination
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 23
%P 1-7
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present communication, two exponential fuzzy information measures are introduced and characterized axiomatically. To show the effectiveness of the proposed measure, it is compared with the existing measures. Two fuzzy discrimination and symmetric discrimination measures are defined and their validity are checked. Important properties of new measures are studied. Their applications in pattern recognition and diagnosis problem of crop disease are discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy set Fuzzy information Discrimination measure Pattern recognition

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