模糊数均值排序与比较评价

S. Prasad, A. Sinha
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引用次数: 0

摘要

尽管目前已经提出了各种模糊数排序方法,但没有一种方法能够在所有情况下都提供满意的结果。有些是违反直觉的,有些在同样的情况下是不一致的。为了克服上述问题,我们提出了一种利用两个点的平均值对模糊数进行排序的新技术。在左边和右边的隶属函数(参考函数)上取点,使它们以相同的比例除以各自的隶属函数。该方法能有效地决定模糊数的排序。要使用这种技术,隶属函数不必是正规和线性的。
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Ranking Fuzzy Numbers with Mean Value of Points and Comparative Reviews
Even though various ranking fuzzy numbers approaches have been presented so far, none of them can always provide satisfactory results in every situation. Some are counterintuitive, and some are inconsistent for the same circumstances. To overcome the issues mentioned above, we present a new technique for ranking fuzzy numbers using the mean value of the two points. The points are taken on the left and the right membership functions (reference functions) such that they divide the respective membership function in the same ratio . The proposed technique determines the order of the fuzzy numbers significantly. To use this technique, the membership functions need not be normal and linear.
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0.00%
发文量
47
审稿时长
16 weeks
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