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Non-Probabilistic Information Measures of Fuzzy Matrix & their Application in Medical Diagnosis

Omdutt Sharma, Priti Gupta


Non-probabilistic information measures have gained attention by researchers due to their wide range of applications in decision making and data related problems.Keeping in view of non-probabilistic nature of experiment, here some information measures related to fuzzy matrices are introduced and their application for feature selection has been presented. Feature selection can eliminate those features which are irrelevant thus it reduces the dimension and improve the predictive accuracy of decision machining problems related to life involve information which may contain uncertain. In this paper, uncertainty and vagueness deal with fuzzy set theory via fuzzy matrix concept.

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