A New Method for Financial Performance Evaluation of Listed Power Enterprise

Author

Niu, Dongxiao ; Wang, Weijun ; Qiu, Zilong

Author_Institution

Sch. of Bus. Adm., North China Electr. Power Univ., Beijing

fYear

2008

fDate

25-26 Sept. 2008

Firstpage

328

Lastpage

331

Abstract

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 enterprisepsilas financial achievement can be deduced. Finally, the feasibility and the effectiveness of the proposed method are verified by an empirical study.

Keywords

electricity supply industry; financial management; fuzzy set theory; normal distribution; power system economics; Euclid approach degree; financial performance evaluation; fuzzy matter-element model; information entropy theory; listed power enterprise; membership function; normal distribution; Companies; Distributed computing; Forward contracts; Gaussian distribution; Genetics; Information analysis; Information entropy; Investments; Multidimensional systems; Performance analysis; Euclid approach degree; financial performance evaluation; fuzzy matter-element; listed power enterprise; membership function of normal distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on

Conference_Location

Hubei

Print_ISBN

978-0-7695-3334-6

Type

conf

DOI

10.1109/WGEC.2008.36

Filename

4637456