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Knowledge Reduction Based on Evidence Reasoning Theory in Interval Ordered Information Systems

机译:区间有序信息系统中基于证据推理的知识约简

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Rough set theory has been considered as a useful tool to model the vagueness, imprecision, and uncertainty, and has been applied successfully in many fields. In this paper, the basic concepts and properties of knowledge reduction based on evidence reasoning theory are discussed. Furthermore, the characterization and knowledge reduction approaches based on evidence reasoning theory are obtained.
机译:粗糙集理论已被认为是对模糊性,不精确性和不确定性进行建模的有用工具,并已成功应用于许多领域。本文讨论了基于证据推理理论的知识约简的基本概念和性质。此外,获得了基于证据推理理论的表征和知识约简方法。

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