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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Kharazmi University</PublisherName>
				<JournalTitle>International Journal of Supply and Operations Management</JournalTitle>
				<Issn>2383-1359</Issn>
				<Volume>4</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>On Solutions of Possibilistic Multi- objective Quadratic Programming Problems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>150</FirstPage>
			<LastPage>157</LastPage>
			<ELocationID EIdType="pii">2728</ELocationID>
			
<ELocationID EIdType="doi">10.22034/2017.2.04</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hamiden</FirstName>
					<LastName>Khalifa</LastName>
<Affiliation>ISSR Cairo University, Giza, Egypt</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, a multi- objective quadratic programming (Poss- MOQP) problem with possibilistic variables coefficients matrix in the objective functions is studied. Through the use of level sets the Poss- MOQP problem is converted into the corresponding deterministic multi- objective quadratic programming ( MOQP) problem and hence into the single parametric quadratic programming problem using the weighting method. An extended possibly efficient solution is specified. A necessary and sufficient condition for finding such a solution is established. A relationship between the solutions of possibilistic levels is constructed. Numerical example is given in the sake for the paper to clarify the obtained results.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multi- objective quadratic programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Possibilistic variables</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Possibilistic efficient solution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">level set</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Possibly efficient solution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Possibly optimal solution</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">http://www.ijsom.com/article_2728_61dedbc786adb8107bbd87fae493239c.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
