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