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 dis- crimination measures are defined and their validity are checked. Important properties of new measures are studied. Their applica- tions in pattern recognition and diagnosis problem of crop disease are discussed
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CITATION STYLE
RajMishra, A., Singh Hooda, D., & Jain, D. (2015). On Exponential Fuzzy Measures of Information and Discrimination. International Journal of Computer Applications, 119(23), 1–7. https://doi.org/10.5120/21373-3712
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