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Fuzzy probabilities and their applications to statistical inference

机译:模糊概率及其在统计推理中的应用

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摘要

We discuss the issue of probability of a fuzzy event. The value of this probability is a fuzzy set rather than a number between zero and one. We compare this concept with the non fuzzy probability of a fuzzy event and we investigate some possible shortcomings of the latter. Explicit formulae for the fuzzy probability are given in both the discrete and continuous cases. In particular, in the discrete uniform case we relate the concepts of fuzzy probability and fuzzy cardinality. Our concept of fuzzy probability is applied to statistical inference and in particular to testing of hypotheses of the form " theta is F", where F is a fuzzy set. The level of significance and the power function of testing procedures are evaluated as fuzzy probabilities.
机译:我们讨论了模糊事件的概率问题。 这种概率的值是模糊集而不是零和一个之间的数字。 我们将此概念与模糊事件的非模糊概率进行比较,我们调查了后者的一些可能的缺点。 用于模糊概率的显式公式在离散和连续的情况下给出。 特别是,在离散统一案例中,我们涉及模糊概率和模糊基数的概念。 我们的模糊概率概念应用于统计推断,特别是测试“θf”的假设的测试,其中f是模糊集。 测试程序的重要性和功率功能被评估为模糊概率。

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