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Fuzzy rule based classification with FeatureSelector and modified threshold accepting

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  • Ravi, V.
  • Zimmermann, H. -J.

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  • Ravi, V. & Zimmermann, H. -J., 2000. "Fuzzy rule based classification with FeatureSelector and modified threshold accepting," European Journal of Operational Research, Elsevier, vol. 123(1), pages 16-28, May.
    • Handle: RePEc:eee:ejores:v:123:y:2000:i:1:p:16-28
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    References listed on IDEAS

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    1. P. S. Bradley & O. L. Mangasarian & W. N. Street, 1998. "Feature Selection via Mathematical Programming," INFORMS Journal on Computing, INFORMS, vol. 10(2), pages 209-217, May.
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    Cited by:

    1. Derhami, Shahab & Smith, Alice E., 2017. "An integer programming approach for fuzzy rule-based classification systems," European Journal of Operational Research, Elsevier, vol. 256(3), pages 924-934.
    2. Wang, Xin & Liu, Xiaodong & Pedrycz, Witold & Zhu, Xiaolei & Hu, Guangfei, 2012. "Mining axiomatic fuzzy set association rules for classification problems," European Journal of Operational Research, Elsevier, vol. 218(1), pages 202-210.
    3. Ravi, V. & Reddy, P. J. & Zimmermann, H. -J., 2000. "Pattern classification with principal component analysis and fuzzy rule bases," European Journal of Operational Research, Elsevier, vol. 126(3), pages 526-533, November.
    4. Hu, Yi-Chung, 2006. "A knowledge acquisition method for determining utilities of linguistic values for product factors," European Journal of Operational Research, Elsevier, vol. 174(2), pages 945-958, October.
    5. Wang, Haifeng & Zheng, Bichen & Yoon, Sang Won & Ko, Hoo Sang, 2018. "A support vector machine-based ensemble algorithm for breast cancer diagnosis," European Journal of Operational Research, Elsevier, vol. 267(2), pages 687-699.

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