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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">119</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>New Intuitionistic Fuzzy Similarity Measures and Application to Pattern Recognition&#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>20</day><month>03</month><year>2017</year></pub-date><volume/><issue/><fpage>17</fpage><lpage>21</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 three new intuitionistic fuzzy similarity measures. Methodology: To achieve the goal of this paper, an exponential methodology is used with three different functions. The important properties of the proposed measures are discussed axiomatically.&#13;
Results: The applicability and efficiency of these new similarity measures in pattern recognition are demonstrated with illustrative examples. It is shown that the proposed measures are efficient, reasonable and simpler than the existing measures.&#13;
Conclusion: The proposed intuitionistic fuzzy similarity measures are consistent for the application point of view in the context of pattern recognition&#13;
</p></abstract><kwd-group><kwd>Fuzzy set</kwd><kwd> Intuitionistic fuzzy set</kwd><kwd> Intuitionistic fuzzy divergence measure</kwd><kwd> Intuitionistic fuzzy similarity measure</kwd></kwd-group></article-meta></front></article>
