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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Allameh Tabataba'i University</PublisherName>
				<JournalTitle>Industrial Management Studies</JournalTitle>
				<Issn>2251-8029</Issn>
				<Volume>9</Volume>
				<Issue>24</Issue>
				<PubDate PubStatus="epublish">
					<Year>2012</Year>
					<Month>03</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Agility Evaluation by Using Verbal Variables in Fuzzy Logic and Ranking Fuzzy Numbers by Using Central Gravity Point Technique and Topsis
(Case study: Yazd Alloy Steel Company)</ArticleTitle>
<VernacularTitle>Agility Evaluation by Using Verbal Variables in Fuzzy Logic and Ranking Fuzzy Numbers by Using Central Gravity Point Technique and Topsis
(Case study: Yazd Alloy Steel Company)</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>22</LastPage>
			<ELocationID EIdType="pii">4537</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Mohaghar</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Morvoti Sharifabadi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Seyed Abdolaziz</FirstName>
					<LastName>Yonesifar</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2010</Year>
					<Month>11</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>In this article we try to collect all opinions of previous researchers in agility evaluation field and to provide a new method for evaluating agility by using Fuzzy logic. First, the structure’s agility level is evaluated by using FAI method. Due to the ranking Fuzzy numbers’ role and importance in making decisions, then the Fuzzy numbers are ranked by using central gravity point technique and Topsis. In fact, this leads to identifying those factors which caused the structure agility reduction. This method would help managers in making decisions.</Abstract>
			<OtherAbstract Language="FA">In this article we try to collect all opinions of previous researchers in agility evaluation field and to provide a new method for evaluating agility by using Fuzzy logic. First, the structure’s agility level is evaluated by using FAI method. Due to the ranking Fuzzy numbers’ role and importance in making decisions, then the Fuzzy numbers are ranked by using central gravity point technique and Topsis. In fact, this leads to identifying those factors which caused the structure agility reduction. This method would help managers in making decisions.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Agility Manufacture system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Logic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy agility index</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jims.atu.ac.ir/article_4537_ae7527c25b518a0d56b2b8e9fcf75076.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
