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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>SOME COMPUTATIONAL RESULTS FOR THE FUZZY RANDOM VALUE OF LIFE ACTUARIAL LIABILITIES</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>25</LastPage>
			<ELocationID EIdType="pii">3323</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3323</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>J.</FirstName>
					<LastName>De Andres-Sanchez</LastName>
<Affiliation>Social and Business Research Laboratory, Department of Business Management, Rovira i Virgili University, Spain</Affiliation>

</Author>
<Author>
					<FirstName>L. Gonzalez-Vila</FirstName>
					<LastName>Puchades</LastName>
<Affiliation>Department of Mathematics for Economics, Finance and Actuarial Science, University of Barcelona, Spain</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>The concept of fuzzy random variable has been applied in several papers to model the present value of life insurance liabilities. It allows the fuzzy uncertainty of the interest rate and the probabilistic behaviour of mortality to be used throughout the valuation process without any loss of information. Using this framework, and considering a triangular interest rate, this paper develops closed expressions for the expected present value and its defuzzified value, the variance and the distribution function of several well-known actuarial liabilities structures, namely life insurances, endowments and life annuities.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Financial pricing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Life insurance</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Endowment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Life annuity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic mortality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy numbers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy triangular interest rate</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy random variable</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy financial mathematics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy life insurance mathematics</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3323_242708c1c04780a4e8a45660e0ca3d78.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>CERTAIN TYPES OF EDGE m-POLAR FUZZY GRAPHS</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>27</FirstPage>
			<LastPage>50</LastPage>
			<ELocationID EIdType="pii">3324</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3324</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Muhammad</FirstName>
					<LastName>Akram</LastName>
<Affiliation>Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>Neha</FirstName>
					<LastName>Waseem</LastName>
<Affiliation>Department of Mathematics, University of the Punjab, New Campus,
Lahore, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>Wieslaw A.</FirstName>
					<LastName>Dudek</LastName>
<Affiliation>Faculty of Pure and Applied Mathematics, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>In this research paper, we present a novel frame work for handling $m$-polar information by combining the theory of $m-$polar fuzzy  sets with graphs. We introduce certain types of edge regular $m-$polar fuzzy graphs and edge irregular $m-$polar fuzzy graphs. We describe some useful properties of edge regular, strongly edge irregular and strongly edge totally irregular $m-$polar fuzzy graphs. We discuss the relationship between degree of a vertex and degree of an edge in an $m-$polar fuzzy graph. We investigate edge irregularity on a path on $2n$ vertices and barbell graph $B_{n,n}.$&lt;br /&gt;We also present an application of $m-$polar fuzzy graph to decision making.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Barbell graph</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">$m-$polar fuzzy sets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">$m-$polar fuzzy graphs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Strongly edge totally irregular $m-$polar fuzzy graphs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Decision making</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3324_59b5d39f5876cd527802f701f8ecc284.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>ARITHMETIC-BASED FUZZY CONTROL</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>51</FirstPage>
			<LastPage>66</LastPage>
			<ELocationID EIdType="pii">3325</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3325</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jozsef</FirstName>
					<LastName>Dombi</LastName>
<Affiliation>Institute of Informatics, University of Szeged, Szeged, Hungary</Affiliation>

</Author>
<Author>
					<FirstName>Tamas</FirstName>
					<LastName>Szepe</LastName>
<Affiliation>Department of Technical Informatics, University of Szeged, Szeged,
Hungary</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>12</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>Fuzzy control is one of the most important parts of fuzzy theory for which several approaches exist. Mamdani uses $\alpha$-cuts and builds the union of the membership functions which is called the aggregated consequence function. The resulting function is the starting point of the defuzzification process. In this article, we define a more natural way to calculate the aggregated consequence function via arithmetical operators. Defuzzification is the optimum value of the resultant membership function. The left and right hand sides of the membership function will be handled separately. Here, we present a new ABFC (Arithmetic Based Fuzzy Control) algorithm based on arithmetic operations which use a new defuzzification approach. The solution is much smoother, more accurate, and much faster than the classical Mamdani controller.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fuzzy controller</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Mamdani controller</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Defuzzification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy arithmetic</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3325_9b07cd96f753146bc25062151c7c05e8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>AN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>67</FirstPage>
			<LastPage>85</LastPage>
			<ELocationID EIdType="pii">3326</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3326</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Lotfi</FirstName>
					<LastName>Chaouech</LastName>
<Affiliation>Laboratoire d&amp;#039;Ingenierie des Systemes Industriels et des Energies
Renouvelables (LISIER), The National Higher Engineering School of Tunis (ENSIT), BP 56, 1008 Tunis, Tunisia</Affiliation>

</Author>
<Author>
					<FirstName>Mo^ez</FirstName>
					<LastName>Soltani</LastName>
<Affiliation>Laboratoire d&amp;#039;Ingenierie des Systemes Industriels et des Energies Renouvelables (LISIER), The National Higher Engineering School of Tunis (ENSIT), BP
56, 1008 Tunis, Tunisia</Affiliation>

</Author>
<Author>
					<FirstName>Slim</FirstName>
					<LastName>Dhahri</LastName>
<Affiliation>Laboratoire d&amp;#039;Ingenierie des Systemes Industriels et des Energies Renouvelables (LISIER), The National Higher Engineering School of Tunis (ENSIT), BP
56, 1008 Tunis, Tunisia</Affiliation>

</Author>
<Author>
					<FirstName>Abdelkader</FirstName>
					<LastName>Chaari</LastName>
<Affiliation>Laboratoire d&amp;#039;Ingenierie des Systemes Industriels et des Energies Renouvelables (LISIER), The National Higher Engineering School of Tunis (ENSIT), BP 56, 1008 Tunis, Tunisia</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>03</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle swarm optimization is incorporated into the linear quadratic regular technique for determining the optimal weight matrices. Consequently, an optimal sliding surface is obtained using the scalar $sign$ function. This latter is used to design the proposed control law. Finally, the effectiveness of the proposed fuzzy sliding mode controller based on parallel distributed compensator and using particle swarm optimization is evaluated by comparing the obtained results with other reported in literature.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Sliding mode control</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Takagi-Sugeno fuzzy model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Particle Swarm Optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Parallel distributed compensator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Linear quadratic regulator</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3326_f3456838d80940d4d0d34d523ff7c0b3.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>INTERVAL-VALUED INTUITIONISTIC FUZZY SETS AND SIMILARITY MEASURE</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>87</FirstPage>
			<LastPage>98</LastPage>
			<ELocationID EIdType="pii">3327</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3327</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Barbara</FirstName>
					<LastName>Pekala</LastName>
<Affiliation>Interdisciplinary Centre for Computational Modelling, Faculty of Mathematics and Natural Sciences, University of Rzeszow, Pigonia 1, 35-310 Rzeszow, Poland</Affiliation>

</Author>
<Author>
					<FirstName>Krzysztof</FirstName>
					<LastName>Balicki</LastName>
<Affiliation>Interdisciplinary Centre for Computational Modelling, Faculty of Mathematics and Natural Sciences, University of Rzeszow, Pigonia 1, 35-310 Rzeszow, Poland</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, the problem of measuring the degree of inclusion and similarity measure for two   interval-valued intuitionistic  fuzzy sets is considered. We propose inclusion and similarity measure by using  order on interval-valued intuitionistic fuzzy sets connected with lexicographical order. Moreover, some properties of inclusion and similarity measure and some correlation, between them and aggregations are examined. Finally, we have included example of ranking problem in car showrooms.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Interval-valued intuitionistic fuzzy sets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Inclusion measure</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Similarity measure</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3327_4ffa11fa38d3e5873252092cc9181d0a.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>TOPOLOGICAL SIMILARITY OF L-RELATIONS</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>99</FirstPage>
			<LastPage>115</LastPage>
			<ELocationID EIdType="pii">3328</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3328</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jing</FirstName>
					<LastName>Hao</LastName>
<Affiliation>College of Mathematics and Information Science, Henan University of
Economics and Law, Zhengzhou, 450000, China</Affiliation>

</Author>
<Author>
					<FirstName>Shasha</FirstName>
					<LastName>Huang</LastName>
<Affiliation>College of Mathematics and Information, North China University of
Water Resources and Electric Power, Zhengzhou, 450045, China</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>06</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>$L$-fuzzy rough sets are extensions of the classical rough sets by relaxing the&lt;br /&gt;equivalence relations to $L$-relations. The topological structures induced by&lt;br /&gt;$L$-fuzzy rough sets have opened up the way for applications of topological facts&lt;br /&gt;and methods in granular computing. In this paper, we firstly prove that&lt;br /&gt;each arbitrary $L$-relation can generate an Alexandrov $L$-topology.&lt;br /&gt;Based on this fact, we introduce the topological similarity of $L$-relations,&lt;br /&gt;denote it by T-similarity, and we give intuitive characterization of&lt;br /&gt;T-similarity. Then we introduce the variations of a given $L$-relation and&lt;br /&gt;investigate the relationship among them. Moreover, we prove that each&lt;br /&gt;$L$-relation is uniquely topological similar to an $L$-preorder. Finally,&lt;br /&gt;we investigate the related algebraic structures of different sets of&lt;br /&gt;$L$-relations on the universe.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">$L$-fuzzy rough set</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">$L$-relation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Alexandrov $L$-topology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">$L$-preorder</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Topological similarity</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3328_9d91e0d6e83d4532a68b2d14d8756c97.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>FUZZY INCLUSION LINEAR SYSTEMS</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>117</FirstPage>
			<LastPage>137</LastPage>
			<ELocationID EIdType="pii">3329</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3329</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mojtaba</FirstName>
					<LastName>Ghanbari</LastName>
<Affiliation>Department of Mathematics, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this manuscript, we introduce  a new class of fuzzy problems, namely ``fuzzy inclusion linear systems&quot; and   propose a fuzzy solution set for it. Then, we present a theoretical discussion about the relationship between  the fuzzy solution set of a  fuzzy inclusion linear system and the algebraic solution of a fuzzy linear system. New necessary and sufficient conditions are derived for obtaining the unique algebraic solution for a fuzzy linear system. Also, all new concepts are illustrated by numerical examples.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fuzzy linear system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy inclusion linear system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy solution set</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lower $r$-boundary</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Upper $r$-boundary</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3329_0c798ba6903291db932f68673982de92.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>STONE DUALITY FOR R0-ALGEBRAS WITH INTERNAL STATES</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>139</FirstPage>
			<LastPage>161</LastPage>
			<ELocationID EIdType="pii">3330</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3330</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hongjun</FirstName>
					<LastName>Zhou</LastName>
<Affiliation>School of Mathematics and Information Science, Shaanxi Normal
University, Xi&amp;#039;an, 710062, CHINA</Affiliation>

</Author>
<Author>
					<FirstName>Hui-Xian</FirstName>
					<LastName>Shi</LastName>
<Affiliation>School of Mathematics and Information Science, Shaanxi Normal University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>$R\sb{0}$-algebras, which were proved to be equivalent to Esteva and Godo&#039;s NM-algebras modelled by Fodor&#039;s nilpotent minimum t-norm, are the equivalent algebraic semantics of the left-continuous t-norm based fuzzy logic firstly introduced by Guo-jun Wang in the mid 1990s.&lt;br /&gt;In this paper, we first establish a Stone duality for the category of MV-skeletons of $R\sb{0}$-algebras and the category of three-valued Stone spaces.&lt;br /&gt;Then we extend Flaminio-Montagna internal states to $R\sb{0}$-algebras.&lt;br /&gt;Such internal states must be idempotent MV-endomorphisms of $R\sb{0}$-algebras.&lt;br /&gt;Lastly we present a Stone duality for the category of MV-skeletons of $R\sb{0}$-algebras with Flaminio-Montagna internal states and the category of three-valued Stone spaces with Zadeh type idempotent continuous endofunctions.&lt;br /&gt;These dualities provide a topological viewpoint for better understanding of the algebraic structures of $R\sb{0}$-algebras.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">$Rsb{0}$-algebra</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nilpotent minimum algebra</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">MV-skeleton</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">internal state</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stone duality</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3330_f12a0f74c6087b8efa1b0345bf21060c.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Sistan and Baluchestan</PublisherName>
				<JournalTitle>Iranian Journal of Fuzzy Systems</JournalTitle>
				<Issn>1735-0654</Issn>
				<Volume>14</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>30</Day>
				</PubDate>
			</Journal>
<ArticleTitle>REDUNDANCY OF MULTISET TOPOLOGICAL SPACES</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>163</FirstPage>
			<LastPage>168</LastPage>
			<ELocationID EIdType="pii">3331</ELocationID>
			
<ELocationID EIdType="doi">10.22111/ijfs.2017.3331</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Ghareeb</LastName>
<Affiliation>Department of Mathematics, Faculty of Science, South Valley University, Qena 83523, Egypt</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we show the redundancies of multiset topological spaces. It is proved that $(P^\star(U),\sqsubseteq)$ and $(Ds(\varphi(U)),\subseteq)$ are isomorphic. It follows that multiset topological spaces are superfluous and unnecessary in the theoretical view point.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Multiset</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multiset topology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Isomorphism</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijfs.usb.ac.ir/article_3331_e60d0f147e0b8583bab007f0010335f2.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
