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Knowledge Engineering and Management pp 273–282Cite as

Using OWA Operators to Integrate Group Attitudes towards Consensus

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 123))

Abstract

Nowadays decisions that affect organizations or big amounts of people are normally made by a group of experts, rather than a single decision maker. These decisions would require more than a majority rule to be well-accepted. Consensus Reaching Processes in Group Decision Making Problems attempt to reach a mutual agreement before making a decision. A key issue in these processes is the adequate choice of a consensus measure, according to the group’s needs and the context of the specific problem to solve. In this contribution, we introduce the concept of attitude towards consensus in consensus reaching processes, with the aim of integrating it in the consensus measures used throughout the consensus process by means of a novel aggregation operator based on OWA, so-called Attitude-OWA (AOWA).

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Jaén, 23071, Jaén, Spain

    Iván Palomares & Luis Martínez

  2. School of Computing and Mathematics, University of Ulster, BT37 0QB, NewtownAbbey, Northern Ireland, UK

    Jun Liu

  3. School of Mathematics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China

    Yang Xu

Authors
  1. Iván Palomares
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  2. Jun Liu
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  3. Yang Xu
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  4. Luis Martínez
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, China

    Yinglin Wang

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, Sichuan Province, China

    Tianrui Li

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© 2011 Springer-Verlag Berlin Heidelberg

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Palomares, I., Liu, J., Xu, Y., Martínez, L. (2011). Using OWA Operators to Integrate Group Attitudes towards Consensus. In: Wang, Y., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent and Soft Computing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25661-5_36

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  • DOI: https://doi.org/10.1007/978-3-642-25661-5_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25660-8

  • Online ISBN: 978-3-642-25661-5

  • eBook Packages: EngineeringEngineering (R0)

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