A New Method for Financial Performance Evaluation of Listed Power Enterprise

被引：0
|
作者：
Niu, Dongxiao [1 ]
Wang, Weijun [1 ]
Qiu, Zilong [1 ]
机构：
[1] N China Elect Power Univ, Sch Business Adm, Beijing, Peoples R China
来源：
SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/WGEC.2008.36
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to evaluate the financial performance of listed power enterprise, a new method is put forward based on the fuzzy matter-element analysis and combined with the membership function of normal distribution, the concept of Euclid approach degree, the theory of information entropy. Regarding the listed power enterprise as the objects of matter-element, and the compound fuzzy matter-element is constructed by the evaluation factors and their fuzzy value of the object. Through calculating Euclid approach degree between the fuzzy matter-element and the standard fuzzy matter-element, so the level of listed power enterprise's financial achievement can be deduced. Finally, the feasibility and the effectiveness of the proposed method are verified by an empirical study.
引用
收藏
页码：328 / 331
页数：4
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