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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>OICC Press</PublisherName>
<JournalTitle>Fuzzy Optimization and Modeling Journal (FOMJ)</JournalTitle>
<Issn>2676-7007</Issn>
<Volume>1</Volume>
<Issue>2</Issue>
<PubDate PubStatus="epublish">
<Year>2020</Year>
<Month>10</Month>
<Day>01</Day>
</PubDate>
</Journal>
<ArticleTitle>Rough Set in Fuzzy Approximation Space with Fuzzy Equivalence Class</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage>43</FirstPage>
<LastPage>49</LastPage>
<ELocationID EIdType="doi"></ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Mohadeseh</FirstName>
<LastName>Taginejad</LastName>
<Affiliation>Department of Mathematics, Payame Noor University (PNU) Tehran, Iran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2020</Year>
<Month>10</Month>
<Day>01</Day>
</PubDate>
</History>
<Abstract>The rough set model was constructed in fuzzy approximation space. In this study, we first introduce the fuzzy relation, relative sets, and fuzzy equivalence class. Then, we prove some properties of the fuzzy equivalence class. Thereafter, the concept of fuzzy rough set is proposed over fuzzy relation and inverse fuzzy relation in fuzzy approximation space by means of relative sets and fuzzy equivalence class sets, and some propositions are proved. Also, some examples and dentitions are presented in this study</Abstract>
</Article>
</ArticleSet>