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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 method facing with many actual problems such as uncertainty optimization, fuzzy information processing and fuzzy control. Because all the discussions based on level cut-sets depend on its creditability, it has important theoretical and practical significance to establish a method 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 level cut-sets, we introduce the concept of level creditability of fuzzy numbers,present a necessary and sufficient condition of level creditability being equal to 1 for each λ∈[0,1], and then consider the basic properties (such as continuity, monotonicity etc.) of level creditability and the integral properties of fuzzy numbers. In the 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,面临着不确定性优化,模糊信息处理和模糊控制等许多实际问题。由于所有基于水平割据的讨论都取决于其信用度,因此建立一种测量水平割据的信用度的方法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,提出了水平可信度等于的充要条件。对于每个λ∈[0,1],则为1,然后考虑级别信用的基本属性(如连续性,单调性等)和模糊数的积分属性。最后,我们构成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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