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On Exponential Fuzzy Measures of Information and Discrimination

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International Journal of Computer Applications
© 2015 by IJCA Journal
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 and Divya Jain. Article: On Exponential Fuzzy Measures of Information and Discrimination. International Journal of Computer Applications 119(23):1-7, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Arunodaya Raj Mishra and Dhara Singh Hooda and Divya Jain},
	title = {Article: On Exponential Fuzzy Measures of Information and Discrimination},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {23},
	pages = {1-7},
	month = {June},
	note = {Full text available}
}

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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