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Multiple Attribute Variable Weight Fuzzy Decision-Making Based on Optimistic Coefficient Method

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Abstract

This paper first discusses the establishment of multi-attribute decision problem model and the determination of weights. Then this paper points out a situation that the method of updating weights using the fixed weight vector cannot effectively describe the weights’ variation when the state vector is continuously changing. To get rid of this problem, an iterative weight updating method is proposed. Finally, based on the existing optimistic coefficient method, the influence of high-order terms is discussed: updating weights with the fixed weight vector and updating weights with iteration. Experiments show that the higher-order terms in the state variable weight vector have a negative effect on the decision result.

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Acknowledgements

This work is supported by the Science, Technology and Innovation Commission of Shenzhen Municipality (No. JCYJ20170815161351983), and the National Natural Science Foundation of China (No. 61671379).

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Authors and Affiliations

  1. Research & Development Institute in Shenzhen, Northwestern Polytechnical University, Shenzhen, Guangdong, China

    Peng Sun, Shunping Chen & Yongfeng Zhi

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  1. Peng Sun
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  2. Shunping Chen
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  3. Yongfeng Zhi
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Correspondence to Yongfeng Zhi.

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Sun, P., Chen, S. & Zhi, Y. Multiple Attribute Variable Weight Fuzzy Decision-Making Based on Optimistic Coefficient Method. Int. J. Fuzzy Syst. 23, 573–583 (2021). https://doi.org/10.1007/s40815-020-01020-7

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  • DOI: https://doi.org/10.1007/s40815-020-01020-7

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