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It Is Possible to Determine Exact Fuzzy Values Based on an Ordering of Interval-Valued or Set-Valued Fuzzy Degrees

机译:可以根据区间值或集值模糊度的排序确定精确的模糊值

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摘要

In the usual [0,1]-based fuzzy logic, the actual numerical value of a fuzzy degree can be different depending on a scale, what is important -- and scale-independent -- is the order between different values. To make a description of fuzziness more adequate, it is reasonable to consider interval-valued degrees instead of numerical ones. Here also, what is most important is the order between the degrees. If we have only order between the intervals, can we, based on this order, reconstruct the original numerical values -- i.e., the degenerate intervals? In this paper, we show that such a reconstruction is indeed possible, moreover, that it is possible under three different definitions of order between numerical values.
机译:在通常的基于[0,1]的模糊逻辑中,模糊度的实际数值可能会根据标度而不同,重要的是标度,与标度无关的是不同值之间的顺序。为了使对模糊性的描述更加充分,考虑间隔值度数而不是数值度数是合理的。同样,最重要的是度数之间的顺序。如果我们在间隔之间只有顺序,我们是否可以基于此顺序来重构原始数值-即退化间隔?在本文中,我们证明了这样的重构确实是可能的,而且,在数值之间的三个不同的阶次定义下它是可能的。

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