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A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making

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  • Qinrong Feng
  • Xiao Guo

Abstract

There are many uncertain problems in practical life which need decision-making with soft sets and fuzzy soft sets. The purpose of this paper is to develop an approach to effectively solve the group decision-making problem based on fuzzy soft sets. Firstly, we present an adjustable approach to solve the decision-making problems based on fuzzy soft sets. Then, we introduce knowledge measure and divergence degree based on -similarity relation to determine the experts’ weights. Further, we develop an effective group decision-making approach with unknown experts’ weights. Finally, sensitivity analysis about the parameters and comparison analysis with other existing methods are given.

Suggested Citation

  • Qinrong Feng & Xiao Guo, 2018. "A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making," Complexity, Hindawi, vol. 2018, pages 1-12, July.
    • Handle: RePEc:hin:complx:2501489
    DOI: 10.1155/2018/2501489
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    Cited by:

    1. Mingwei Lin & Jiuhan Wei & Zeshui Xu & Riqing Chen, 2018. "Multiattribute Group Decision-Making Based on Linguistic Pythagorean Fuzzy Interaction Partitioned Bonferroni Mean Aggregation Operators," Complexity, Hindawi, vol. 2018, pages 1-24, November.

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