随机环境下基于模糊知识的诊断任务方法

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI:10.1109/CINTI.2013.6705237

A. Walaszek-Babiszewska

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引用次数: 1

摘要

本文运用模糊系统理论以及概率论和随机过程理论，研究了概率-模糊知识系统的创建问题。我们表明，这样的系统可以应用于不同的诊断任务。原因-结果模糊模型的结构采用加权规则的形式。权重表示规则的前件和后件中模糊陈述的经验概率。计算出的模糊事件的概率包含在推理/预测过程中。

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Fuzzy knowledge-based approach to diagnosis tasks in stochastic environment

This work deals with the creating probabilistic-fuzzy knowledge-based systems by using the theory of fuzzy systems as well as the probability and stochastic processes theory. We show that such systems can be applied in different diagnostic tasks. The structure of the reason-result fuzzy model has a form of weighted rules. Weights represent empirical probabilities of fuzzy statements in antecedents and consequent parts of rules. The calculated probabilities of fuzzy events are included into inference/forecast procedures.

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2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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