摘要
从函数分析入手,将综合评价方法归结为标准化函数、基函数以及权数三者的选择和确定,并将综合评价法与统计回归法以及机器学习法统一起来,从而在较高层面上看待不断演化出来的综合评价方法,有利于综合评价方法的理论统一化。
From the viewpoint of the concept of function, this paper divides comprehensive assessment algorithms into three types, including standard functions, base functions, and weights. Moreover, it unifies comprehensive assessment approaches, statistical regression, and machine learning algorithms. So we can treat various developing comprehensive assessment algorithms from a uniform angle, which helps to theoretically unify them.
出处
《天津大学学报（社会科学版）》
2006年第5期373-375,共3页
Journal of Tianjin University：Social Sciences
基金
博士学科点专项科研基金资助项目(20040056041).
关键词
综合评价
机器学习
回归
comprehensive assessment
machine learning
regression
