关键词: 模糊等价关系, 知识粒度, 混合决策系统, 属性约简

Abstract: In the real world there are massive, incomplete, vague, and inaccurate data or objects. As a result fuzzy information granulation has become a research trend in recent years. This paper defines a fuzzy knowledge granulation of fuzzy granular world by making use of fuzzy equivalence relation on the universe of discourse. Then it gives new rules of attribute reduction and a method of computing core attributes in order to preferably dig out some potential and valuable information. Because in a rough set model numerical attribute reduction usually brings information loss and fuzzy attributes are not taken into consideration, a heuristic algorithm for the reduction of hybrid decision system based on fuzzy knowledge granulation is proposed to eliminate the discretization process of continuous attributes, reduce the computational complexity and provide a unified approach for normal values and hybrid data. An example shows that the algorithm is effective.

Key words: fuzzy equivalence relation, knowledge granulation, hybrid decision system, attribute reduction