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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>11</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A new approach for solving constrained matrix games with fuzzy constraints and fuzzy payoffs</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>425</FirstPage>
			<LastPage>439</LastPage>
			<ELocationID EIdType="pii">6684</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2023.23207.2072</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sabiha</FirstName>
					<LastName>Djebara</LastName>
<Affiliation>Laboratoire de Recherche Operationnelle et de Mathematiques de la Decision, Faculte des sciences,Universite Mouloud Mammeri de Tizi Ouzou, 15000 Tizi-Ouzou, Algeria</Affiliation>

</Author>
<Author>
					<FirstName>Farida</FirstName>
					<LastName>Achemine</LastName>
<Affiliation>Laboratoire de Mathematiques Pures et Appliquees, Faculte des sciences, Universite Mouloud Mammeri de Tizi Ouzou, 15000 Tizi-Ouzou, Algeria</Affiliation>

</Author>
<Author>
					<FirstName>Ouiza</FirstName>
					<LastName>Zerdani</LastName>
<Affiliation>Laboratoire de Recherche Operationnelle et de Mathematiques de la Decision, Faculte des sciences,Universite Mouloud Mammeri de Tizi Ouzou, 15000 Tizi-Ouzou, Algeria</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>11</Month>
					<Day>09</Day>
				</PubDate>
			</History>
		<Abstract>The main purpose of this study is to construct a new approach for solving a constrained matrix game where the payoffs and the constraints are LR-fuzzy numbers. The method that we propose here is based on chance constraints and on the concept of a comparison of fuzzy numbers. First, we formulate the fuzzy constraints of each player as chance constraints with respect to the possibility measure. According to a ranking function $\mathcal{R}$, a crisp constrained matrix game is obtained. Then, we introduce the concept of $\mathcal{R}$-saddle point equilibrium. Using results on ordering fuzzy numbers, sufficient existence conditions of this concept are provided. The problem of computing this solution is reduced to a  pair of primal-dual linear programs. To illustrate the proposed method, an example of the market competition game is given.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Chance-constraints</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">constrained matrix games</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fuzzy games</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">saddle point equilibrium</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_6684_a610924a254aa986dd592d1b30c4649e.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
