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SCIENCE CHINA Information Sciences, Volume 63, Issue 4: 149201(2020) https://doi.org/10.1007/s11432-018-9545-8

Simplified outlier detection for improving the robustness of a fuzzy model

Yali JIN1,2, Weihua CAO1,2,*, Min WU1,2, Yan YUAN1,2
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  • ReceivedJun 14, 2018
  • AcceptedJul 16, 2018
  • PublishedAug 27, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant No. 61773354), Hubei Provincial Natural Science Foundation (Grant No. 2015CFA010), and Programme of Introducing Talents of Discipline to Universities (111 Project) (Grant No. B17040).


Supplement

Tables S1 and S2.


References

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  • Figure 1

    (Color online) (a) Fuzzy regions of the input-output space and sample data; (b) predicted results of the WM method; (c) predicted results of our proposed method.

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