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LEVEL CREDITABILITY OF FUZZY NUMBERS AND ITS PROPERTIES

机译:模糊数的可信赖度及其性质

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摘要

Making fuzzy information locally clarified by level cut-sets is a common approach facing with many practical problems such as uncertainty optimization, fuzzy information processing and fuzzy control. Because all the discussions depend on the creditability of the level cut-sets, it has important theoretical and practical significance to give an approach for measuring the creditability of level cut-sets. In this paper, based on the Lebesgue measure of level cut-sets and the membership degree of an element in a level cut-set, we introduce the concept of level creditability of fuzzy numbers, and then consider the basic properties of level creditability and the integral properties of fuzzy numbers. At last, we constitute the formulas computing the level creditability of triangular fuzzy numbers and trapezoid fuzzy numbers.
机译:通过水平割集使模糊信息局部化是一种常见的方法,它面临许多实际问题,例如不确定性优化,模糊信息处理和模糊控制。由于所有讨论都取决于水平削减集的可信度,因此提供一种方法来测量水平削减集的可信度具有重要的理论和实践意义。本文基于水平切集的Lebesgue测度和水平切集中元素的隶属度,介绍了模糊数的水平可信度的概念,然后考虑了水平可信度的基本属性和模糊数的积分性质。最后,我们建立了计算三角形模糊数和梯形模糊数的等级可信度的公式。

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