摘要
在智能决策支持系统(IDSS)中,决策指标数据通常需要量化为数值才能进行分析处理,属性论中的逆定性映射方法和属性坐标学习与分析法是属性论中的新方法,前者可以对决策指标进行量化,后者对打分样本进行学习后,可以按照评估者偏重来计算指标的全局满意度;以要评估企业文化的优劣程度所需的3个指标为例,根据评估者对指标的不同侧重,对205个企业的企业文化做出了评判,得出了较合理的结果,为智能决策提供了一种新方法。
In IDSS, indexes for decision need usually be quantilized for further analysis and process. Both converse qualitative mapping （CQM） and property coordinate study and analysis are new methods in theory of property. The former is to quantilize indexes, and the latter is to study sample, then to get global satisfying degree of indexes according to evaluators＇ preference. Take enterprise＇s culture for example, 205 enterprises＇ culture was evaluated on the basis of three indexes with reasonable result. A new method is proposed for inteligent decision.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第12期2149-2150,2165,共3页
Computer Engineering and Design
基金
国家自然科学基金项目(60075016)
上海市高校科技发展基金项目(01G04)
关键词
IDSS
逆定性映射
属性坐标学习与分析法
样本学习
全局满意度
IDSS
converse qualitative mapping
property coordinate study and analysis
sample study
global satisfying degree
