Journal of Power System Engineering (동력기계공학회지)

The Korean Society for Power System Engineering (한국동력기계공학회)
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Rejection Degree by Fuzzy Significance Probability

  • Choi, Gyu-Tag (Subdivision of Business Admniistration, KyungNam College of Information & Technology) ;
  • Park, Il-Soo (Dept. of Refrigeration & Air-conditioning Engineering, TongMyong University) ;
  • Nam, Hyun-Woo (Dept. of Fire Safety Management, GyeongSan University) ;
  • Moon, Jong-Choon (Dept. of Automative Engineering, GyeongSan University)
  • Received : 2013.10.18
  • Accepted : 2013.11.27
  • Published : 2014.02.28
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Abstract

We propose some properties for fuzzy hypothesis test by fuzzy significance probability. First, we define fuzzy number data and fuzzy significance probability for repeatedly observed data with alternated error term. By the agreement index, we compare fuzzy significance probability with significance level and drawing conclusions the degree of acceptance and rejection by agreement index.

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References

  1. P. X. Gizegorzewski, 2000, "Testing Hypotheses with vague data", Fuzzy Sets and Systems. 112, pp. 501-510. https://doi.org/10.1016/S0165-0114(98)00061-X
  2. M. K. Kang, G. T. Choi and C. E. Lee, 2000, "On Statistical Test for Fuzzy Hypotheses with Fuzzy Data", Proceeding of Korea Fuzzy Logic and Intelligent System Society Fall Conference, Vol. 10, Num. 2.
  3. M. K. Kang, G. T. Choi and S. I .Han, 2000, "A Bayesian Fuzzy Hypotheses testing with Loss Function", Proceeding of Korea Fuzzy Logic and Intelligent Systems Society Fall Conference, Vol 13, Num. 2.
  4. M. K. Kang, Lee, C. E. and Han, S. I. , 2003, "Fuzzy Hypotheses Testing for Hybrid Numbers by Agreement Index", Far East Journal of Theoretical Statistics., 10(1).
  5. S. F. Schnatter, S., 1992, "On Statistical inference for Fuzzy Data whit Application to Des Crispy Statistics", Fuzzy Sets and Systems, 50, pp 143-165. https://doi.org/10.1016/0165-0114(92)90213-N