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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="general-sciences" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">151</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"/><article-categories><subj-group subj-group-type="heading"><subject>General Sciences</subject></subj-group></article-categories><title-group><article-title>A Novel Generalized Divergence Measure of Fuzzy Sets&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ohlan</surname><given-names>Anshu</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>31</day><month>03</month><year>2017</year></pub-date><volume/><issue/><fpage>1</fpage><lpage>3</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Aim: The aim of the paper is to introduce a generalized measure of discrimination in fuzzy environment.&#13;
Methodology: To achieve the goal of this paper a parametric generalization of Hellinger__ampersandsignrsquo;s fuzzy divergence measure is studied along with the proof of its validity.&#13;
Results: A particular case and some important properties are discussed in detail of the proposed generalized Hellinger__ampersandsignrsquo;s fuzzy divergence measure.&#13;
Conclusion: Generalized Hellinger__ampersandsignrsquo;s fuzzy divergence measure is valid measure of fuzzy divergence.&#13;
</p></abstract><kwd-group><kwd>Fuzzy sets</kwd><kwd> Fuzzy entropy</kwd><kwd> Fuzzy divergence measure</kwd><kwd> Generalized Fuzzy Divergence Measures</kwd></kwd-group></article-meta></front></article>
