摘要
针对IT项目的风险管理与群决策过程中存在大量不确定、不完全信息等特征,在传统决策方法的基础上,将粗糙集方法与AHP理论相结合,提出了粗集IT项目风险群决策的基本步骤,并借助粗糙集的原理与方法,通过实例分析探讨了IT项目风险群决策中关于知识表达、属性约简、规则挖掘、方案排序等方法,尤其是引入属性动态权重、专家主观权重、客观权重的概念与计算方法,进而对整个决策排序算法进行了改进。
Aiming at the imprecision and uncertainty of risk factors,this paper analyzes the basic characters of IT project,and points out the problems existing in the group decision making.Meanwhile,the basic steps of RSGDS is put forward. With the rough set theory,the main processes of knowledge reasoning such as attributes reduction and rules mining are discussed, especially introducing the concept of dynamic weight,then the algorithm of rules reduction and mining is optimized and ameliorated.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第21期226-228,241,共4页
Computer Engineering and Applications
基金
云南省教育厅基金(No.07Y11385)
关键词
粗糙集方法
层次分析法理论
IT项目风险管理
智能决策系统
动态权重
rough set
Analytic Hierarchy Process(AHP) theory
IT project risk management
intelligent decision support system
dynamic weight