<?xml version="1.0"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Ansari Education and Research Society</publisher>
    <journalTitle>Journal of Ultra Scientist of Physical Sciences</journalTitle>
    <issn/>
    <eissn/>
    <publicationDate>December 2009</publicationDate>
    <volume>21</volume>
    <issue>3</issue>
    <startPage>861</startPage>
    <endPage>870</endPage>
    <doi>jusps-A</doi>
    <publisherRecordId>1268</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Some Studies on Multi-Objective Fuzzy Game Theory</title>
    <authors>
      <author>
        <name>S.K. Sahoo</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>P.K. Parida (prashanta_math@yahoo.co.in)</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Institute of Mathematics &amp; Application, Andharua, Bhubaneswar - 751003, Orissa (INDIA)</affiliationName>
      <affiliationName affiliationId="2">Eastern Academy of Science and Technology, Anantpur, Fullnakhara, Bhubaneswar, Orissa (INDIA)</affiliationName>
    </affiliationsList>
    <abstract language="eng">&lt;p style="text-align: justify;"&gt;In this paper, theory of games dealing with decision making process in competitive situation considering the ambiguity of decisions with uncertainty and imprecision of information has been studied. Fuzzy game theory has been established in near past. Studies will be made on different results on multi-objective fuzzy game.&lt;/p&gt;&#xD;
</abstract>
    <fullTextUrl format="html">https://www.ultrascientist.org/paper/1268/</fullTextUrl>
    <keywords>
      <keyword language="eng">Zero-sum game</keyword>
    </keywords>
    <keywords>
      <keyword language="eng"> mixed strategy</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">expected payoff</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">fuzzy decision;</keyword>
    </keywords>
    <keywords>
      <keyword language="eng"> fuzzy mixed strategy</keyword>
    </keywords>
  </record>
</records>
