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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>International Journal of Smart Electrical Engineering</JournalTitle>
<Issn>2345-6221</Issn>
<Volume>9</Volume>
<Issue>5</Issue>
<PubDate PubStatus="epublish">
<Year>2020</Year>
<Month>12</Month>
<Day>01</Day>
</PubDate>
</Journal>
<ArticleTitle>An Overview of Fuzzy Inference Algorithms</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage>165</FirstPage>
<LastPage>167</LastPage>
<ELocationID EIdType="doi"></ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Omid</FirstName>
<LastName>Feizollahzade</LastName>
<Affiliation>Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2020</Year>
<Month>12</Month>
<Day>01</Day>
</PubDate>
</History>
<Abstract>A fuzzy inference system is a mapping of input-to-output space implemented using membership functions and fuzzy rules. Intelligent, control and decision making is one of the most important fuzzy inference algorithms. Mamdani and Sugno fuzzy inference algorithms are examined and their advantages and disadvantages are stated.</Abstract>
</Article>
</ArticleSet>