广义优势多粒度直觉模糊粗糙集及规则获取

优势关系粗糙集模型是研究序信息系统中数据挖掘的主要方法。为了丰富现有优势关系粗糙集模型，使其更加有效地应用于实际问题，本文首先在直觉模糊决策信息系统中利用三角模和三角余模定义了3种优势关系，得到了3种优势类；其次构造了广义优势关系多粒度直觉模糊粗糙集模型，讨论了该模型的主要性质；随后给出如何从直觉模糊决策信息系统中获取逻辑连接词为“或”的决策规则；最后通过实例说明该模型在处理直觉模糊决策序关系信息系统时是有效的。

Generalized dominance-based multi-granularity intuitionistic fuzzy rough set and acquisition of decision rules

The dominance relation rough set model is the main method of data mining when researching order information systems. In this paper, we attempt to enrich the present model and make it more effective for practical problems using the following methods: Firstly, defining three types of dominance relations using triangular norms and co-norms in an intuitionistic fuzzy decision information system; here, three types of dominance class were obtained; secondly, establishing a generalized dominance-based multi-granularity intuitionistic fuzzy rough set model and discussing its properties; thirdly, establishing the decision rules for obtaining the logic connective “OR” in the intuitionistic fuzzy decision information system; and finally, using an example to illustrate the effectiveness of the model.