Application of the Improved Rough Sets to Green Energy Assessment

被引：0

作者：

Liu, Shuai ^{[1
]}

机构：

[1] Hohai Univ, Sch Business, West Rd 8, Nanjing, Jiangsu, Peoples R China

来源：

2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015) | 2015年

关键词：

green energy; index system; rough sets; information entropy; appraisement model;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

According to the fact that the current evaluation methods for green energy is differ and index weight have the strong subjective, this paper has designed an evaluation index system of green energy. Introducing the improved rough set conditional information entropy method, the paper got objective weight through knowledge mining. And then, it combines subjective weight with expert's experience, making the index weight is more comprehensive and reasonable. Through application examples we can know that this kind of method is operational and reasonable. And it can provide support for making decisions in green energy management.

引用

页码：4538 / 4542

页数：5