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A dominance-inferiority-based rough set model and its application to car evaluation

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Abstract

By comparing the attributes of objects one by one, an intuitionistic fuzzy relation, called the dominance-inferiority relation, is presented, and a dominance-inferiority-based rough set is introduced. Based on the dominance-inferiority relation and the dominance-inferiority-based rough set, the dominance-inferiority degree and dominance-inferiority neighborhood degree are then proposed, respectively. Then, according to these newly proposed degrees, a novel multiple-attribute decision-making method is designed. Finally, the effectiveness, accuracy, and non-randomness of the new method are verified through comparison of methods via ROC curves.

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Acknowledgements

This work is supported by the Hunan Provincial Natural Science Foundation of China (2023JJ30387).

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Authors and Affiliations

  1. Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, 410084, Hunan, People’s Republic of China

    Bin Yu, Hengjie Xie, Ruihui Xu & Tian Yang

  2. Business School, Sichuan University, Chengdu, 610064, People’s Republic of China

    Zeshui Xu

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  1. Bin Yu
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  2. Hengjie Xie
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  3. Ruihui Xu
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  4. Tian Yang
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  5. Zeshui Xu
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Correspondence to Tian Yang.

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Yu, B., Xie, H., Xu, R. et al. A dominance-inferiority-based rough set model and its application to car evaluation. Soft Comput (2023). https://doi.org/10.1007/s00500-023-09010-1

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