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    <title>Collective Wisdom-Driven Three-Way Decision in Risk Management</title>
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    <namePart>Liang, Decui.</namePart>
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    <namePart>Wang, Mingwei.</namePart>
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    <namePart>Xu, Zeshui.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 231 p. 82 illus., 73 illus. in color. online resource.</extent>
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  <abstract>This book delves deeply into the research progress on three-way risk decision for risk management under complex social environment. From the new perspective of collective wisdom, it systematically explores three-way group decision-making methods and practical applications by considering group information fusion, consensus reaching process, group social network and group complex network. This book intends to provide a reference for researchers, practitioners and graduate students in the fields of risk management and decision analysis.</abstract>
  <tableOfContents>Preface -- Part I Introduction -- 1 Backgrounds and Literature Review -- Part II Three-way Risk Decision Based on Group Information Fusion -- 2 Three-way Group Decision -- 3 Three-way Group Decision under Linguistic Assessments -- 4 Three-way Group Decision via Joint Classification and Consensus -- Part III Three-way Risk Decision Driven by Group Social Network -- 5 Three-way Group Decision Based on Social Network -- 6 Three-way Group Decision Based on Large-scale Social Network -- 7 Three-way Group Decision Based on Hierarchical Social Network -- Part IV Three-way Risk Decision Driven by Group Complex Network -- 8 Sequential Three-way Group Decision Based on Multiple Networks.</tableOfContents>
  <note type="statement of responsibility">by Decui Liang, Mingwei Wang, Zeshui Xu.</note>
  <subject authority="lcsh">
    <topic>Operations research</topic>
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    <topic>Operations Research and Decision Theory</topic>
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      <title>Uncertainty and Operations Research</title>
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  <identifier type="isbn">9789819785650</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-8565-0</identifier>
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