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Open Access Biostatistics & Bioinformatics

A Survey on Trigonometric Measures of Fuzzy Information and Discrimination

  • Open or Close DS Hooda*

    Honorary Professor in Mathematics, India

    *Corresponding author: DS Hooda, Former PVC, Honorary Professor in Mathematics, India

Submission: May 25, 2018; Published: November 01, 2018

DOI: 10.31031/OABB.2018.02.000538

ISSN 2578-0247
Volume2 Issue3


In the literature of fuzzy information measures, there exist many well-known parametric and non-parametric measures with their own merits and limitations. But our main emphasis is on applications of these information measures to a variety of disciplines. It has been observed that trigonometric measure of fuzzy information measures have their own importance for application point of view particularly to geometry. In present communication the concept of fuzzy information measure is introduced with its generalizations. Some new trigonometric measures of fuzzy information due to various authors are defined and characterized. One generalized measure of fuzzy discrimination by Hooda [1] is proposed and its application in decision making is also studied.

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