Abstract
Connection number is one of the most important symbolic data, and a means for solving fuzzy problem as well. In this paper, the regression analysis for connection number via deviation transmission is proposed. Furthermore, a new similarity measure between connection numbers is defined based on the analysis of the characteristics of connection number. And, based upon this, evaluation indices of the regression analysis models are proposed. By calculation of numerical examples, the efficiency of this regression model can be proved.
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Acknowledgements
The research was supported by the National Natural Science Foundation of China (Grant No. 60972115) and the Graduate Student Science and Technology Innovation Project of Beijing Information Science and Technology University (Grant No. 5111623908).
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Zhang, WY., Zhang, BJ. (2019). Regression Analysis for Connection Number via Deviation Transmission. In: Cao, BY., Zhong, YB. (eds) Fuzzy Sets and Operations Research. ICFIE 2017. Advances in Intelligent Systems and Computing, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-030-02777-3_20
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DOI: https://doi.org/10.1007/978-3-030-02777-3_20
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