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Alternative TitleSelf-learning mechanism-base fast matching fuzzy reasoning method
史海波; 潘福成; 里鹏; 于淼; 段彬; 胡国良
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention relates to a self-learning mechanism-base fast matching fuzzy reasoning method. The method includes the following steps that: a Gaussian membership degree function method is adopted to construct parameter fuzzification information; a fuzzy rule base is established; external parameters are fuzzificated, so that a fact item can be obtained; the fact item is matched with rules in the fuzzy rule base by adopting a rete algorithm, so that a fuzzy reasoning result can be obtained; the fuzzy reasoning result is subjected to defuzzification, so that a final reasoning result can be obtained; and a sample set is constructed according to the final reasoning result and an actual feedback result, and rule strength self-learning correction is carried out based on the sample set. According to the self-learning mechanism-base fast matching fuzzy reasoning method of the invention, the rete algorithm is adopted, so that the efficiency of fuzzy reasoning can be improved, and the fuzzy reasoning method can be applied to the engineering field with high real-time requirements.
PCT Attributes
Application Date2014-12-18
Date Available2018-12-21
Application NumberCN201410796146.1
Open (Notice) NumberCN105787563B
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
史海波,潘福成,里鹏,等. 一种基于自学习机制的快速匹配模糊推理方法[P]. 2016-07-20.
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