双宇宙多粒覆盖粗糙集模型

Zhijia Wang, Qinghai Wang
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引用次数: 0

摘要

经典多粒决策理论的粗糙集是对宇宙上等价关系的一种回报。但在实际应用中,由于信息系统的不完备性,使得等价关系难以实现。本文将多粒决策理论和覆盖粗糙集模型推广到对偶宇宙模型,提出了对偶宇宙多粒覆盖粗糙集模型。给出了最小覆盖描述,构造了上下近似的定义,以处理分布式数据的多粒度空间知识。通过引入粗糙熵和信息熵的不确定性度量,证明了该模型的实用性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual Universes Multi-Granulation Covering Rough Sets Model
The rough set of classical multi-granulation decision theory is in return for the equivalence relation on the universe. But in practical application, the equivalence relation is difficult to be realized because of the incompleteness of information system. In this paper, multi-granulation decision theory and the covering rough sets model is extended to the dual universes model, and the dual universes multi-granulation covering rough sets model is proposed. The minimal covering description is given, in addition, the definition of lower and upper approximation is constructed to deal with knowledge of multiple granularity space of distributed data. The practicability and reliability of this model are proved by introducing the uncertainty measurement of rough entropy and information entropy.
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