DocumentCode :
2215040
Title :
A study on ERP system software selecting evaluation based on fuzzy neural network model
Author :
Hou Jianhua ; Zhou Shugong ; Zhao Guangfeng ; Li Chunrui
Author_Institution :
Deans´ Office, Tang Shan Teachers´ Coll., Tang Shan, China
Volume :
1
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
It is a key point for realizing the objects of enterprise information-based construction that whether the ERP system can successfully applied and implemented. For the Chinese enterprise which foundation of information-based is weak, the enterprise usually faces many bemusements for selecting ERP system and implementing ERP system, because of the complicacy of ERP system. The fuzzy comprehensive evaluation is a multiattribute comprehensive evaluation method. The weight of membership function is so subjective that the application of the method conditionality. The BP neural network can objectively evaluate different methods. The paper combines fuzzy evaluation method with BP network theory. The fuzzy neural network model takes advantage of fuzzy theory and BP network. From network learning, the paper can achieve the optimization degree of ERP system and an accurate evaluation. The paper study how to select ERP system based on the fuzzy neural network model.
Keywords :
backpropagation; enterprise resource planning; fuzzy neural nets; learning (artificial intelligence); software performance evaluation; BP neural network; Chinese enterprise; ERP system software selecting evaluation; fuzzy neural network model; network learning; Biological system modeling; Indexes; Software; ERP selection; fuzzy system; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5578997
Filename :
5578997
Link To Document :
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