基于属性约简与动态模糊依赖关系的企业绩效评价方法  

An Approach to Evaluating Performance of Companies Based on Combining Reduction of Attributes with Dynamic Fuzzy Dependence Relation

作　　者：刘韬[1] 伍军云[1] 邱桃荣[1] 林仲达[1] 何妞[1] 

机构地区：[1]南昌大学信息工程学院,江西南昌330031

出　　处：《南昌大学学报（工科版）》2012年第4期401-405,共5页Journal of Nanchang University(Engineering & Technology)

基　　金：江西省自然科学基金资助项目(20114BAB201039);江西省科技支撑资助项目(2011BBG70087);江西省教育厅科技计划资助项目(GJJ11286)

摘　　要：针对如何更科学合理地进行企业绩效评价的需要,将粗糙集方法和动态模糊依赖关系理论相结合,提出一种新的企业绩效评价方法。应用粗糙集理论中基于属性重要度的属性约简算法构建评价因素集,基于动态模糊依赖关系理论构建公司绩效评价结果集。通过对具体的数据集的测试表明所提出的评价方法是有效的。A new performance evaluation method of companies was proposed through the combination of rough set method and dynamic fuzzy dependent relation.The attribute reduction algorithm based on attribute significance in rough set theory was used to construct evaluation factor set.The dynamic fuzzy dependent relation theory was combined to generate the results set of performance evaluation of companies.Through the test of a concrete data set,it showed that the proposed evaluation method was feasible and efficient.

关 键 词：粗糙集 动态模糊集 企业绩效 属性约简 绩效评价 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]