一种基于Rough集理论的多属性综合评价方法  

Research on Multi-attribute Measurement Method Based on Rough Set

作　　者：万伟[1] 王命延[1] 陈熹[2] 

机构地区：[1]南昌大学计算机系,江西南昌330029 [2]上海交通大学软件学院,上海200240

出　　处：《计算机与现代化》2007年第1期49-51,59,共4页Computer and Modernization

摘　　要：目前诸多的综合测评方法在权重设置等方面的局限性制约了人们对评价对象的科学认识,本文根据Rough集理论,提出了基于Rough集的综合评价方法,旨在消除权重设置的主观性,实现完全数据驱动,不需要人为设置权重。通过大学生综合测评实例,验证该方法的实用性、可行性。Although many comprehensive measurement methods have improved objectivity of evaluation process, the limitations in weightassignment and establishment of single factor measurement matrix of these methods restrict us to evaluate objects. In this paper, a new multi-attribute measurement method based on rough set is presented, which eliminates the subjectivity in weight assignment, efficiently reduces the scale of index system and shortens calculating time, realizes completely data driving, not needs set weightiness by manual acting. An example shows this method is effective and feasible.

关 键 词：ROUGH集 属性约简 属性重要性 数据驱动 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]