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A method of variable selection for fuzzy regression – the possibility approach

Author

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  • Barbara Gładysz
  • Dorota Kuchta

Abstract

A method of variable selection for fuzzy regression has been proposed. Using the method, the significance of fuzzy regression coefficients has been examined. The method presented is equivalent to the method of variable selection for classical regression based on an analysis of the confidence in- tervals for their coefficients. Illustrative examples are presented.

Suggested Citation

  • Barbara Gładysz & Dorota Kuchta, 2011. "A method of variable selection for fuzzy regression – the possibility approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(2), pages 5-15.
    • Handle: RePEc:wut:journl:v:2:y:2011:p:5-15:id:180
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    Cited by:

    1. Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek & Agnieszka Skowronek-Grądziel, 2020. "Risk estimation and decision making in management (in selected areas of science)," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(1), pages 47-66.
    2. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.

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