一种基于粗糙集条件信息熵的多指标综合评价方法研究

针对多指标综合评价中各评价指标权重获取的问题，构建了基于粗糙集条件信息熵的多指标综合评价智能模型。考虑到实际综合评价应用分析中常见的小样本数据特点，将决策表进行合理分块划分，以层次式计算的方式基于粗糙集方法逐步实现对各个评价指标权重的客观求取。算例分析和实验比较，验证了该粗糙集智能评价模型的有效性与优越性。

A Research on Multiple-indicators Comprehensive Evaluation Method Based on Rough Set and Conditional Information Entropy

In order to get the reasonable and objective evaluation index weights, rough set theory based intelligent evaluation model is constructed. According to the problem of index-weight acquirement in accordance with the condition of small sample data, we try to divide the decision table into several blocks and use hierarchical way to get index weight values, based on rough set theory. At the end of this paper, experimental results prove the superiority of the rough set intelligent evaluation model.