基于属性约简的模糊综合评判

Fuzzy Synthetic Judgment Based on Attribute Reduction

粗糙集理论是一种新的处理模糊和不确定知识的数学工具.属性约简是粗糙集理论研究中的重要内容之一.本文提出基于属性约简的模糊综合评判.通过属性约简,模糊评判过程中因素集(属性集)的指标数大大减少,从而达到简化运算、节约时空资源的目的.

Rough set theory is a new mathematical tool to deal with vague and uncertain konwledge in applications. Attribute reduction is one of the important topics in the research on rongh set theory. This paper proposes fuzzy synthetic judgment based on attribute reduction. By using attribute reduction, the number of attribute in the attribute set of fuzzy synthetic judgment has decreased, so it can also simplify operations and cut down the resource of space and time.