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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>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>02</Month>
					<Day>11</Day>
				</PubDate>
			</Journal>
<ArticleTitle>ROBUST $H_{\infty}$ CONTROL FOR T–S TIME-VARYING DELAY
SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON
LMI APPROACH</ArticleTitle>
<VernacularTitle>ROBUST $H_{\infty}$ CONTROL FOR T–S TIME-VARYING DELAY
SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON
LMI APPROACH</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">214</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2009.214</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Han-Liang</FirstName>
					<LastName>Huang</LastName>
<Affiliation>Department of Mathematics, Beijing Institute of Technology,
Beijing 100081, China</Affiliation>

</Author>
<Author>
					<FirstName>Fu-Gui</FirstName>
					<LastName>Shi</LastName>
<Affiliation>Department of Mathematics, Beijing Institute of Technology, Beijing
100081, China</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2007</Year>
					<Month>10</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>In this paper we consider the problem of delay-dependent robust&lt;br /&gt;H1 control for uncertain fuzzy systems with time-varying delay. The Takagi–&lt;br /&gt;Sugeno (T–S) fuzzy model is used to describe such systems. Time-delay is&lt;br /&gt;assumed to have lower and upper bounds. Based on the Lyapunov-Krasovskii&lt;br /&gt;functional method, a sufficient condition for the existence of a robust $H_{\infty}$&lt;br /&gt;controller is obtained. The fuzzy state feedback gains are derived by solving&lt;br /&gt;pertinent LMIs. The proposed method can avoid restrictions on the derivative&lt;br /&gt;of the time-varying delay assumed in previous works. The effectiveness of our&lt;br /&gt;method is demonstrated by a numerical example.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">$H_{\infty}$ control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear matrix inequality (LMI)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Delay-dependent</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">T–S
fuzzy systems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Uncertainty</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_214_04d0cd9efac09c8afac5f1cebbedce64.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>02</Month>
					<Day>11</Day>
				</PubDate>
			</Journal>
<ArticleTitle>COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS
FOR SOFT COMPUTING</ArticleTitle>
<VernacularTitle>COMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS
FOR SOFT COMPUTING</VernacularTitle>
			<FirstPage>15</FirstPage>
			<LastPage>25</LastPage>
			<ELocationID EIdType="pii">216</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2009.216</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ferenc</FirstName>
					<LastName>Szidarovszky</LastName>
<Affiliation>Systems and Industrial Engineering Department, University of
Arizona, Tucson, Az 85721-0020, USA</Affiliation>

</Author>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Zarghami</LastName>
<Affiliation>Faculty of Civil Engineering, University of Tabriz, Tabriz 51664,
Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2007</Year>
					<Month>12</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>This paper will introduce a new method to obtain the order weights&lt;br /&gt;of the Ordered Weighted Averaging (OWA) operator. We will first show the&lt;br /&gt;relation between fuzzy quantifiers and neat OWA operators and then offer a&lt;br /&gt;new combination of them. Fuzzy quantifiers are applied for soft computing&lt;br /&gt;in modeling the optimism degree of the decision maker. In using neat operators,&lt;br /&gt;the ordering of the inputs is not needed resulting in better computation&lt;br /&gt;efficiency. The theoretical results will be illustrated in a water resources management&lt;br /&gt;problem. This case study shows that more sensitive decisions are&lt;br /&gt;obtained by using the new method.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">OWA operator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy quantifiers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Neat operator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multi criteria decision
making</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Watershed management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_216_718ace55bcfe8d8ebb8889beaac78deb.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>02</Month>
					<Day>11</Day>
				</PubDate>
			</Journal>
<ArticleTitle>THE PERCENTILES OF FUZZY NUMBERS AND THEIR
APPLICATIONS</ArticleTitle>
<VernacularTitle>THE PERCENTILES OF FUZZY NUMBERS AND THEIR
APPLICATIONS</VernacularTitle>
			<FirstPage>27</FirstPage>
			<LastPage>44</LastPage>
			<ELocationID EIdType="pii">217</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2009.217</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Eynollah</FirstName>
					<LastName>Pasha</LastName>
<Affiliation>Department of Mathematics, The teacher Training University,
Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Abolfazl</FirstName>
					<LastName>Saiedifar</LastName>
<Affiliation>Department of Statistics, Science and Research branch, Islamic
Azad University, Tehran 14515-775, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Babak</FirstName>
					<LastName>Asady</LastName>
<Affiliation>Department of Mathematics, Islamic Azad University, Arak, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2007</Year>
					<Month>08</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of this study is to find the percentiles of fuzzy numbers&lt;br /&gt;and to demonstrate their applications, which include finding weighted&lt;br /&gt;means, dispersion indices, and the percentile intervals of fuzzy numbers. The&lt;br /&gt;crisp approximations of fuzzy numbers introduced in this paper are new and&lt;br /&gt;interesting for the comparison of fuzzy environments, such as a variety of economic,&lt;br /&gt;financial, and engineering systems control problems.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Trimmed mean</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Winsorized mean</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Interquartile range</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Skewness</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Kurtosis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Percentile interval</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_217_28963c5c70c04cbeae3128254ac46d54.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>02</Month>
					<Day>11</Day>
				</PubDate>
			</Journal>
<ArticleTitle>ABSORBENT ORDERED FILTERS AND THEIR
FUZZIFICATIONS IN IMPLICATIVE SEMIGROUPS</ArticleTitle>
<VernacularTitle>ABSORBENT ORDERED FILTERS AND THEIR FUZZIFICATIONS IN IMPLICATIVE SEMIGROUPS</VernacularTitle>
			<FirstPage>45</FirstPage>
			<LastPage>61</LastPage>
			<ELocationID EIdType="pii">219</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2009.219</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Young Bae</FirstName>
					<LastName>Jun</LastName>
<Affiliation>Department of Mathematics Education and (RINS), Gyeongsang National
University, Chinju 660-701, Korea</Affiliation>

</Author>
<Author>
					<FirstName>Chul Hwan</FirstName>
					<LastName>Park</LastName>
<Affiliation>Department of Mathematics, University of Ulsan, Ulsan 680-749,
Korea</Affiliation>

</Author>
<Author>
					<FirstName>D. R.</FirstName>
					<LastName>Prince Williams</LastName>
<Affiliation>Department of Information Technology, Salalah College of
Technology, Post Box: 608, Salalah-211, Sultanate of Oman</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2007</Year>
					<Month>10</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>The notion of absorbent ordered filters in implicative semigroups&lt;br /&gt;is introduced, and its fuzzification is considered. Relations among (fuzzy) ordered&lt;br /&gt;filters, (fuzzy) absorbent ordered filters, and (fuzzy) positive implicative&lt;br /&gt;ordered filters are stated. The extensionproperty for (fuzzy) absorbent ordered&lt;br /&gt;filters is established. Conditions for (fuzzy) ordered filters to be (fuzzy)&lt;br /&gt;absorbent ordered filters are provided. The notions of normal/maximal fuzzy&lt;br /&gt;absorbent ordered filters and complete absorbent ordered filters are introduced&lt;br /&gt;and their properties are investigated.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Implicative semigroup</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">(fuzzy) positive implicative ordered filter</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">(fuzzy) absorbent ordered filter</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Normal fuzzy absorbent ordered filter</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maximal fuzzy absorbent
ordered filter</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Complete fuzzy absorbent ordered filter</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_219_2b5d899b27b4fb5bad6f5035658c89f7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>02</Month>
					<Day>11</Day>
				</PubDate>
			</Journal>
<ArticleTitle>ON ($\epsilon, \epsilon \vee q$)-FUZZY IDEALS OF BCI-ALGEBRAS</ArticleTitle>
<VernacularTitle>ON ($\epsilon, \epsilon \vee q$)-FUZZY IDEALS OF BCI-ALGEBRAS</VernacularTitle>
			<FirstPage>81</FirstPage>
			<LastPage>94</LastPage>
			<ELocationID EIdType="pii">222</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2009.222</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jianming</FirstName>
					<LastName>Zhan</LastName>
<Affiliation>Department of Mathematics, Hubei Institute for Nationalities, Enshi,
Hubei Province,445000, P. R. China</Affiliation>

</Author>
<Author>
					<FirstName>Young Bae</FirstName>
					<LastName>Jun</LastName>
<Affiliation>Department of Mathematics Education, Gyeongsang National University,
Chinju 660-701, Korea</Affiliation>

</Author>
<Author>
					<FirstName>Bijan</FirstName>
					<LastName>Davvaz</LastName>
<Affiliation>Department of Mathematics, Yazd University, Yazd, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2007</Year>
					<Month>11</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>The aim of this paper is to introduce the notions of ($\epsilon, \epsilon \vee q$)-&lt;br /&gt;fuzzy p-ideals, ($\epsilon, \epsilon \vee q$)-fuzzy q-ideals and ($\epsilon, \epsilon \vee q$)-fuzzy a-ideals in BCIalgebras and to investigate some of their properties. Several characterization&lt;br /&gt;theorems for these generalized fuzzy ideals are proved and the relationship&lt;br /&gt;among these generalized fuzzy ideals of BCI-algebras is discussed. It is shown&lt;br /&gt;that a fuzzy set of a BCI-algebra is an ($\epsilon, \epsilon \vee q$)-fuzzy a-ideal if and only if it&lt;br /&gt;is both an ($\epsilon, \epsilon \vee q$)-fuzzy p-ideal and an ($\epsilon, \epsilon \vee q$)-fuzzy q-ideal. Finally, the concept of implication-based fuzzy a-ideals in BCI-algebras is introduced and,&lt;br /&gt;in particular, the implication operators in Lukasiewicz system of continuousvalued&lt;br /&gt;logic are discussed.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">BCI-algebra</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">($\epsilon</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">\epsilon \vee q$)-fuzzy (p-</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">q- and a-) ideal</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy logic</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Implication
operator</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_222_5803dad8f3359c0150f261e18f2d8330.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
