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模糊推理算法的一种新模型 被引量:1

A new model for fuzzy reasoning algorithm
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摘要 根据全蕴涵三I模糊推理算法的思想,讨论基于左连续伪三角范数x1y=0,0≤x≤a,0≤y≤b min(x,y),x>a或y>b诱导的剩余蕴涵的三I算法,分别给出基于这个左连续伪三角范数诱导的第一蕴涵算子与第二蕴涵算子的FMP-算法与FMT-算法,并给出FMP-解与FMT-解的具体表达式.将模糊推理算法与左连续伪三角范数结合起来,为解决实际应用问题提供模糊推理算法的一种新的模型. According to the ideas of the full implication triple I algorithms,the triple I algorithms based on residuated implication operators,which were induced by the left-continuous pseudo-t-norm x1y=0,0≤x≤a,0≤y≤bmin(x,y),x>a or y>b,were researched.The FMP-triple I algorithms and FMT-triple I algorithms based on the first residuated implication operator and the second residuated implication operator of this left-continuous pseudo-t-norm were provided respectively.The expressions of FMP-solutions and FMT-solutions are given respectively.We combine fuzzy reasoning algorithms with left-continuous pseudo-t-norms;and a new model of fuzzy inference method is given for processing complicated problems in the real world.
作者 桑睨 罗敏霞
出处 《中国计量学院学报》 2012年第1期85-89,共5页 Journal of China Jiliang University
基金 浙江省自然科学基金资助项目(No.Y1110651)
关键词 模糊推理 三I算法 左连续伪三角范数 剩余蕴涵 fuzzy reasoning triple I method left-continuous pseudo-t-norm residuated implication
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