<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Payam Noor University</PublisherName>
				<JournalTitle>Iranian Distance Education Journal</JournalTitle>
				<Issn>2588-4476</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>10</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>University Website Quality Improvement Using Intuitionistic Fuzzy Preference Ranking Model</ArticleTitle>
<VernacularTitle>بهبود کیفیت وب سایت دانشگاه با استفاده از مدل رتبه بندی اولویت فازی</VernacularTitle>
			<FirstPage>9</FirstPage>
			<LastPage>30</LastPage>
			<ELocationID EIdType="pii">4545</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Gholam Ali</FirstName>
					<LastName>Montazer</LastName>
<Affiliation>Associate Professor, Information Technology Department,Tarbiat Modares University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>03</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>Website is the first interaction tool between user and organization in every online business. The basic goal of every website is to provide information through its content. Nowadays, website content is considered to be a strategic issue for online businesses which will contribute to user attraction and retention. In this paper a soft decision making approach is taken towards the website content selection problem. To tackle this problem, a multi criteria decision making algorithm is proposed based on PROMETHEE outranking methodology. To overcome the shortening of this methodology facing the inherent uncertainty in decision problems, a new method is developed, where the characteristics of the alternatives are represented by intuitionistic fuzzy sets. Finally, a numerical example for content selection of Iranian universities’ website is given to illustrate application of the intuitionistic fuzzy PROMETHEE method. The outcome shows the effectiveness of intuitionistic fuzzy PROMETHEE in accommodating the imprecise information in comparison with fuzzy PROMETHEE and original PROMETHEE.</Abstract>
			<OtherAbstract Language="FA">Website is the first interaction tool between user and organization in every online business. The basic goal of every website is to provide information through its content. Nowadays, website content is considered to be a strategic issue for online businesses which will contribute to user attraction and retention. In this paper a soft decision making approach is taken towards the website content selection problem. To tackle this problem, a multi criteria decision making algorithm is proposed based on PROMETHEE outranking methodology. To overcome the shortening of this methodology facing the inherent uncertainty in decision problems, a new method is developed, where the characteristics of the alternatives are represented by intuitionistic fuzzy sets. Finally, a numerical example for content selection of Iranian universities’ website is given to illustrate application of the intuitionistic fuzzy PROMETHEE method. The outcome shows the effectiveness of intuitionistic fuzzy PROMETHEE in accommodating the imprecise information in comparison with fuzzy PROMETHEE and original PROMETHEE.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Website Quality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">University Website</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Soft Decision Making</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">PROMETHEE Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Intuitionistic Fuzzy Sets</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://idej.journals.pnu.ac.ir/article_4545_45197553dede6c433f344ec9f847aef2.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
