The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
권호 표지

Fuzzy linear regression model and its application

퍼지 선형회귀모형과 응용

  • 이성호 ((712-714) 경북 경산시 진량면 내리리 15번지, 대구대학교 자연과학대학 통계학과) ;
  • 홍덕헌 ((712-702) 경북 경산시 하양읍, 대구효성카톨릭대학교 기계자동차공학부)
  • Published : 1997.09.01
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Abstract

Fuzzy linear regression model introduced by Tanaka et al. 91982) has been proposed and developed as alternative to statistical linear regression when our understanding of a phenomenon is imprecise or vague. In this paper we review fuzzy linear regression model and its parameter estimation and examine its strengths and weaknesses through case study. In addition another fuzzy linear model is introduced and applied to an economic study.

본 연구에서는 시스템을 지배하는 변수들에 대한 자료가 부정확하거나 애매모호한 경우에 통계적 회귀모형의 대안으로서 제안된 퍼지 회귀모형과 그 모수 추정을 살펴본다. 그리고 사례연구를 통하여 퍼지 회귀모형의 장단점을 이해하고 결과를 비교해본다.

Keywords

References

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