Title :
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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
DOI :
10.1109/WGEC.2008.36
