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<Article>
<Journal>
				<PublisherName>University Of Tehran Press</PublisherName>
				<JournalTitle>Journal of Algorithms and Computation</JournalTitle>
				<Issn>2476-2776</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>01</Month>
					<Day>14</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A comparison between the resolution and linear optimization of FREs defined by product t-norm and geometric mean operator</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>12</LastPage>
			<ELocationID EIdType="pii">85485</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jac.2022.85485</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>01</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, a type of fuzzy system is firstly investigated whereby the feasible region is defined by the fuzzy relational equalities and the geometric mean as fuzzy composition. Some related basic and theoretical properties are derived and the feasible region is completely determined. Moreover, a comparison is made between this region and FRE defined by product t-norm. Finally, an example is described to illustrate the differences of these two FRE systems.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fuzzy relational equalities</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fuzzy compositions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">t-norm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">geometric mean operator</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jac.ut.ac.ir/article_85485_4fd9f3903e06b1470c32424950e5e0f2.pdf</ArchiveCopySource>
</Article>
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