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