综合评价与数据挖掘的比较

Comparison between comprehensive evaluation and data mining

为将在算法上具有信息处理共性特点的数据挖掘和综合评价两个不同的信息处理手段结合应用,通过两组算法实例比较分析,考查数据挖掘和综合评价算法的共性与特性,提出利用数据挖掘方法对综合评价理论改进的算法,设计以用户为中心的基于层次分析法(Analytic Hierarchy Process,AHP)的属性组合降维算法,将评价理论的研究思想和成熟算法应用于主动式数据挖掘.该研究对数据挖掘和综合评价两个学科的共同提高和发展、促进智能信息处理技术的发展具有一定的借鉴作用.

Data mining and comprehensive evaluation are two kinds of different information processing technologies which have the generality of information processing in algorithm design. In order to integrate them tightly for the real application, with two types of algorithm analysis, the commonness and peculiari- ties between comprehensive evaluation and data mining are reviewed, an algorithm to improve perform- ance of evaluation system using data mining theory is presented, and a user-centered AHP （ Analytic Hi- erarchy Process） based dimensionality reduction algorithm which tries to use theory and algorithms of e- valuation is designed based on the requirement analysis of active data mining. The research has some ap- plications to improve and develop these two areas together and promote the development of the intelligent information processing technology.