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  <titleInfo>
    <title>Fuzzy logic with engineering applications</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ross, Timothy J.</namePart>
    <role>
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    <dateIssued encoding="marc">2017</dateIssued>
    <edition>Fourth edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xviii, 562 pages  : illustrations ; 25 cm</extent>
  </physicalDescription>
  <tableOfContents>Classical sets and fuzzy sets -- Classical relations and fuzzy relations -- Properties of membership functions, fuzzification, and defuzzification -- Logic and fuzzy systems -- Historical methods of developing membership functions -- Automated methods for fuzzy systems -- Fuzzy systems simulation -- Decision making with fuzzy information -- Fuzzy classification and pattern recognition -- Fuzzy control systems -- Applications of fuzzy systems using miscellaneous models -- Monotone measures : belief, plausibility, probability, and possibility.</tableOfContents>
  <note type="statement of responsibility">Timothy J. Ross, University of New Mexico, USA.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Engineering</topic>
    <topic>Statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fuzzy logic</topic>
    <topic>School of Pure and Applied Sciences</topic>
  </subject>
  <classification authority="lcc">TA340.R673 2017 .R673 2017</classification>
  <classification authority="ddc" edition="23">TA340.R673 2017</classification>
  <identifier type="isbn">9781119235866 (pbk.)</identifier>
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  <identifier type="lccn">2016021917</identifier>
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