DocumentCode :
1891510
Title :
Fuzzy synthetic evaluation of economic benefit of enterprise based on neural network
Author :
Wang, Xuesong ; Peng, Guangzheng ; Chen, Ynhu
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
Volume :
2
fYear :
2003
fDate :
16-20 July 2003
Firstpage :
620
Abstract :
A method of fuzzy multilayer synthetic evaluation of economic benefit of enterprise is proposed, which applies artificial neural network to analyze the influence coefficients of evaluation indexes of economic benefit. In this way, many subjective factors involved can be avoided and so the economic benefit of enterprise can be analyzed and evaluated more objectively and justly. The method presented is very simple and easy to implement. A practical example is also given and the results verify the validity of the method.
Keywords :
backpropagation; business data processing; cost-benefit analysis; economic indicators; feedforward neural nets; fuzzy neural nets; BP algorithm; artificial neural network; economic benefit; economic indexes; enterprise; enterprise economic benefit; fuzzy synthetic evaluation; multilayer neural network; Appraisal; Artificial neural networks; Fuzzy control; Fuzzy neural networks; Laboratories; Mathematics; Multi-layer neural network; Neural networks; Power generation economics; Profitability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
Type :
conf
DOI :
10.1109/CIRA.2003.1222252
Filename :
1222252
Link To Document :
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