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Group Decisions with Linguistic Information: A Survey

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Handbook of Group Decision and Negotiation

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Abstract

Linguistic terms and their extensions have been shown to be practical tools in group decision problems, mainly because they can express the preferences of decision-makers directly. In recent years, with the growing complexity of information and decision environments, several novel linguistic information expressions have been proposed, such as hesitant fuzzy linguistic term sets, probabilistic linguistic term sets, and double hierarchy hesitant fuzzy linguistic term sets. Based on these concepts, methodologies for information fusion, preference expression, and group decision-making have been introduced and are compared and discussed in this chapter. For information fusion, new aggregation operators can be seen as a part of the foundation of group decision-making. Measures for linguistic information, including distance measures, similarity measures, and entropy, form another important part of this foundation. Decision-makers often provide their preferences using various expressions for pair comparison. The consistency of linguistic preference relations and related methodologies are systematically introduced in this chapter. It is noteworthy that there remain many challenges in the development of group decision-making based on linguistic information, but it deserves much attention because of both its theoretical and practical value.

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Authors and Affiliations

  1. Business School, Sichuan University, Chengdu, Sichuan, China

    Yue He & Zeshui Xu

Authors
  1. Yue He
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  2. Zeshui Xu
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Correspondence to Zeshui Xu .

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Editors and Affiliations

  1. Wilfrid Laurier University Dept. Mathematics, Waterloo, ON, Canada

    D. Marc Kilgour

  2. University of Strathclyde Strathclyde Business School, Glasgow, UK

    Colin Eden

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He, Y., Xu, Z. (2020). Group Decisions with Linguistic Information: A Survey. In: Kilgour, D., Eden, C. (eds) Handbook of Group Decision and Negotiation. Springer, Cham. https://doi.org/10.1007/978-3-030-12051-1_42-1

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  • DOI: https://doi.org/10.1007/978-3-030-12051-1_42-1

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  • Print ISBN: 978-3-030-12051-1

  • Online ISBN: 978-3-030-12051-1

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