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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Algorithms and Computation</JournalTitle>
				<Issn>2476-2776</Issn>
				<Volume>52</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2020</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Fuzzy Cumulative Distribution Function and its Properties</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>127</FirstPage>
			<LastPage>136</LastPage>
			<ELocationID EIdType="pii">79267</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Shams</LastName>
<Affiliation>Department of Mathematical Sciences, University of Kashan, Isfahan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Gholamreza</FirstName>
					<LastName>Hesamian</LastName>
<Affiliation>Department of Statistics,  Payame Noor University,   Tehran 19395-3697,  Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>The statistical methods based on cumulative distribution function is a start point for  many parametric or nonparametric statistical inferences. However, there are many practical problems that require dealing with observations/parameters that represent inherently imprecise.  However, Hesamian and Taheri (2013) was extended a concept of fuzzy cumulative distribution function. Applying a common notion of fuzzy random variables, they extended a vague concept of  fuzzy cumulative distribution function. However, the main properties of the proposed method has not yet been considered in fuzzy environment.  This paper aims to extend  the classical properties of the fuzzy cumulative distribution function in fuzzy environment.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Cumulative Distribution Function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy random variable</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fuzzy parameter</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ranking method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">convergence</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">divergence to infinity</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jac.ut.ac.ir/article_79267_82f43625d638278d11153074cd36964c.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
