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粗集和软集在解决不确定的问题的决策分析过程中,属性约简是关键和棘手的问题.与粗集理论相比较,利用软集方法能够有效地简化决策过程.决策信息系统用软集形式表示,用软集处理粗集理论中的等价关系,进行有效的属性约简,给出一个属性真度的概念作为反映条件属性重要性的函数,在此基础上给出一种适合软集属性约简的启发式算法,通过分析和实例证明该软集属性约简方法,简化约简过程,降低运算的复杂度.
Rough Sets and Soft Sets In the process of decision analysis for solving uncertain problems, attribute reduction is a key and difficult issue.Compared with rough sets theory, the soft set method can effectively simplify the decision-making process. Set form that the soft set to deal with equivalence relations in the rough set theory for effective attribute reduction, given a concept of attribute truth as a reflection of the importance of conditional attributes function, on this basis, a suitable The set of heuristic algorithms for attribute reduction of soft sets is proved by analyzing and examples to simplify the attribute reduction method of the soft set to simplify the reduction process and reduce the computational complexity.