不完全模糊信息系统中基于优势的多粒粗糙集及决策规则提取

Xue-lan Zeng, L. Wu, Shizhou Weng
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引用次数: 0

摘要

多粒化粗糙集是近年来粗糙集理论的一个新的研究方向。本文将基于优势关系的不完全模糊信息系统引入MGRS。建立了基于优势的多粒粗糙集(DMGRS)模型。然后得到了一些重要的性质。通过对单粒空间和多粒空间的逼近精度进行比较,得出了随着粒数的增加,逼近精度增大的结论。最后,研究了三种形式的“或”决策规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dominance-based multi-granulation rough sets and decision rules extraction in incomplete fuzzy information systems
Multi-granulation rough set (MGRS) is a new research direction of rough set theory in recent years. This paper introduces the MGRS into the incomplete fuzzy information systems based on dominance relation. A model of dominance-based multi-granulation rough set (DMGRS) is established. Then a number of important properties are obtained. Moreover, a conclusion is presented by comparing the approximation accuracy between single granulation space and multi-granulation space, which indicates that the approximation accuracy will enlarge as the number of granulations increasing. Finally, three forms of “OR” decision rules are investigated.
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