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Fuzzy hypotheses testing with fuzzy data: A bayesian approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2002) 2275 527-533
DOI: 10.1007/3-540-45631-7_73
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Abstract

In hypotheses testing, such as other statistical problems, we may confront with imprecise concepts. One case is a situation in which both hypotheses and observations are imprecise. In this paper, using fuzzy set theory for formulation of imprecise hypotheses and observations, we analyze mentioned problem on the basis of a Bayesian method.

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Taheri, S. M., & Behboodian, J. (2002). Fuzzy hypotheses testing with fuzzy data: A bayesian approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2275, pp. 527–533). Springer Verlag. https://doi.org/10.1007/3-540-45631-7_73

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