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Which is the Better Rule? The Multiplication Rule or The Minimum Rule for Fuzzy Set Intersection

机译:哪个更好的规则?模糊集相交的乘法规则或最小规则

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The author introduces a term called total belongingness indicator of an element by adding the partial belongingness of the element to a number of sets. When the universal set is constructed by obtaining the union of disjoints sets, it is justified that the total belongingness indicator of an element to all the disjoint sets is equal to one. The author proves that this condition only satisfies for the multiplication rule and not for the minimum rule irrespective of the application. Hence it can be concluded that for the intersection of two fuzzy sets, the multiplication rule is more accurate and appropriate whereas the minimum rule is only an approximation. An example is illustrated to show that the multiplication rule is more appropriate than the minimum rule by defining the same problem in slightly different ways. In addition, a method is proposed in calculating the union of two sets when the multiplication rule is applied as the intersection of two fuzzy sets.
机译:作者通过将元素的部分归属性添加到多个集合中,引入了一个称为元素的总体归属性指标的术语。当通过获得不交集的并集构造通用集时,可以证明一个元素对所有不交集的总归属度指示符等于1。作者证明,该条件仅满足乘法规则,而与最小规则无关,而与应用无关。因此可以得出结论,对于两个模糊集的交集,乘法规则更加准确和适当,而最小规则仅是一个近似值。举例说明,通过以略有不同的方式定义相同的问题,乘法规则比最小规则更合适。此外,提出了一种在将乘法规则作为两个模糊集的交集时计算两个集的并集的方法。

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