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本文对模糊专家系统、模糊决策支持系统和模糊控制系统中常用的Zadeh的模糊推理合成法则CRI进行了推广,提出了带参数的模糊推理合成法则.该法则克服了传统的CRI法则的若干不足之处,能在极弱条件下满足肯定前件的假言推理,否定后件的拒取式推理,否定前件的假言推理,具有推理的逼近性,因为在本方法中已降低了模糊蕴含关系R的关键性地位,所以无须慎选适宜的R.通过参数的调整,本方法具有灵活性和准确性.本文给出了参数的具体取值方法.
In this paper, the generalized Zadeh fuzzy reasoning synthesis rule CRI, which is commonly used in fuzzy expert systems, fuzzy decision support systems and fuzzy control systems, is generalized and a fuzzy inference synthesis method with parameters is proposed. This method overcomes some deficiencies of traditional CRI rules Department, under very weak conditions to meet the affirmative affirmation affirmed the antecedents, rejected negation of reasoning, negating the antecedent of the hypothetical reasoning, with reasoning approximation, because the method has reduced the fuzzy implication The relationship between the key R, so there is no need to carefully select the appropriate R. Through the adjustment of parameters, the method has the flexibility and accuracy.This paper gives a specific value of the parameters.