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NON-FUZZIFYING METHOD FOR FUZZY INFERENCE
NON-FUZZIFYING METHOD FOR FUZZY INFERENCE
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机译：模糊推理的非模糊方法
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摘要
PURPOSE: To provide a non-fuzzifying method for fuzzy inference capable of shortening computing time under required arithmetic accuracy and a proper circuit scale. ;CONSTITUTION: Assuming singletons head-cut by a representative point and the grade of a consequent part for each of the membership functions of plural output labels as yi, gi (i: natural number ≥2), (n) head-cut singletons g1, g2,..., gn (n: natural number ≥2) are selected in sequence of higher value, and a centroid point or a definition point y0 that is a result of non-fuzzifying is computed based on approximate equation y0←1+g1(y2-y1)+g3(y3-y1)+...+gn(yn-y1).;COPYRIGHT: (C)1994,JPO&Japio
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机译：目的：提供一种模糊推理的非模糊方法，能够在所需的算术精度和适当的电路规模下缩短计算时间。 ;构成：假设多个输出标签的每个隶属函数分别为y i ，g i （ i：自然数≥2），（n）切单子g 1 ，g 2 ，...，g n （n ：自然数≥2）按较高的值顺序选择，并根据近似方程y 0计算质心点或非模糊化的定义点y 0 ← 1 + g 1 （y 2 -y 1 ）+ g 3 （y 3 -y 1 ）+ ... + g n （y n - y 1 ）.;版权：（C）1994，JPO＆Japio
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