Abstract
This paper is devoted to the sequential problem of testing hypotheses about an experiment, when its outcomes do not provide exact but rather fuzzy information.
This problem will be formalized as a special fuzzy sequential decision problem and, on assuming the Bayesian framework, we are allowed to extend the notions of risk function, stopping rule and terminal decision rule and the Bayes nonfuzzy decision procedures to the fuzzy case, and particularize them to the sequential problem of testing.
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Bibliography
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© 1988 Springer-Verlag Berlin Heidelberg
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Casals, M.R., Salas, A. (1988). Sequential bayesian test from fuzzy experimental information. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_87
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DOI: https://doi.org/10.1007/3-540-19402-9_87
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