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A Multi-attribute Large Group Decision-Making Method Based on Fuzzy Preference Dynamic Information Interacting

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Proceedings of the Eighth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 281))

Abstract

Given that the traditional fuzzy group decision-making model does not take the process of information interaction into consideration, this paper proposes a large group decision-making method which is based on fuzzy preference dynamic information interaction. This method adopts intuitionistic fuzzy sets (IFSs) to represent decision preference values, defines the similarity between two IFSs and calculates the similarity between the preference vectors of each expert and the ideal alternative. The average similarity of group and the decision deviations of experts are presented. If the decision deviation is greater than the given threshold, the experts are required to revise their decision preferences. Until the decision deviation of each expert is less than the given threshold, we come to the decision-making stage. The weighted similarity between each alternative and the ideal alternative is calculated, and then decision alternatives are ranked by sorting the weighted similarity. The optimal solution is selected according to the maximum principle. At last, an example is taken to simulate the implementation process and the result shows the feasibility and the validity of this method.

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Acknowledgments

The work was supported by a grant from Natural Science Foundation in China (71171202).

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Authors and Affiliations

  1. School of Business, Central South University, Changsha, 410083, People’s Republic of China

    Xuanhua Xu & Huidi Wu

Authors
  1. Xuanhua Xu
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  2. Huidi Wu
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Corresponding author

Correspondence to Xuanhua Xu .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Depart de Enge Mecânica e Industrial, Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa (FCT/UNL), Caparica, Portugal

    Virgílio António Cruz-Machado

  3. LeBow College of Business Department of Decision Sciences, Drexel University, Philadelphia, Pennsylvania, USA

    Benjamin Lev

  4. Institute of Operations Research, Karlsruhe Institute ofTechnology (KIT), Karlsruhe, Germany

    Stefan Nickel

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Xu, X., Wu, H. (2014). A Multi-attribute Large Group Decision-Making Method Based on Fuzzy Preference Dynamic Information Interacting. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_122

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  • DOI: https://doi.org/10.1007/978-3-642-55122-2_122

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55121-5

  • Online ISBN: 978-3-642-55122-2

  • eBook Packages: EngineeringEngineering (R0)

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