한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제13권5호
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  • Pages.571-575
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  • 2003
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Fuzzy least squares polynomial regression analysis using shape preserving operations

  • Hong, Dug-Hun (Department of Mathematics, Myongji University) ;
  • Hwang, Chang-Ha (Department of Statistical Information, Catholic University of Daegu) ;
  • Do, Hae-Young (Department of Statistics, Kyungpook National University)
  • 발행 : 2003.10.01
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초록

In this paper, we describe a method for fuzzy polynomial regression analysis for fuzzy input--output data using shape preserving operations for least-squares fitting. Shape preserving operations simplifies the computation of fuzzy arithmetic operations. We derive the solution using mixed nonlinear program.

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참고문헌

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