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  <titleInfo>
    <title>Fuzzy logic Intelligence Control and Information</title>
  </titleInfo>
  <name type="personal">
    <namePart>Yen, John.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Langari, Reza</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">S.l.]</placeTerm>
    </place>
    <publisher>Prentice Hall</publisher>
    <dateIssued>1998</dateIssued>
    <edition>1st ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>548 p. ;</extent>
  </physicalDescription>
  <abstract>Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox for MATLAB™ to demonstrate exemplar applications and to develop hands-on exercises. Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.)</abstract>
  <subject>
    <topic> Fuzzy logic.  Logique floue.  Fuzzy Logic</topic>
  </subject>
  <identifier type="isbn">0135258170 (hardcover)</identifier>
  <identifier type="isbn">9780135258170 (hardcover)</identifier>
  <identifier type="uri">http://www.amazon.com/exec/obidos/ASIN/0135258170/chopaconline-2</identifier>
  <location>
    <url>http://www.amazon.com/exec/obidos/ASIN/0135258170/chopaconline-2</url>
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