한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
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퍼지 사전 모수에 관한 베이지안 가설검정

Hypotheses testing of Bayes' theorem for fuzzy prior parameters

  • Kang Man-Ki (Dept. Information Statistics, Dongeui University) ;
  • Chio Gue-Tak (Kyungnam College of Information Technology)
  • 발행 : 2005.11.01
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초록

We have fuzzy hypotheses testing from Bayesian statistics with ideas from fuzzy sets theory to generalize Bayesian methods both for samples of fuzzy data and for prior distributions with non-precise parameters. Appling the principle of agreement index, the posterior odds ratio in the favor of hypotheses $H_0$ is equal to product of the fuzzy odds ratio and the fuzzy likelihood ratio. If the Posterior odds ratio exceeds the grade judgement, we accept the hypothesis $H_0$ for the degree.

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