DocumentCode
2845448
Title
Research on reputation estimation system of e-commerce based on fuzzy neural network
Author
Sang, Jinyan ; Qi, Zhenfa
Author_Institution
Sch. of Manage., Shandong Univ. of Technol., Zibo, China
fYear
2010
fDate
26-28 May 2010
Firstpage
1866
Lastpage
1869
Abstract
The systematic study of the evaluation reputation system seem to be at he heart of all e-commerce activities that require trust. We found that the fuzzy neural network method has its own advantage of solving e-commerce reputation estimate. In this research, We propose a fuzzy neural network model to determine the weights of estimate index. Then, we presents the sellers´ reputation estimate index system, and gives the fuzzy neural network estimate model. Finally, we trained data which have gained membership degree after quantized and fuzzy disposed. Because the training of the network is an adaptive course, the results of evaluation indices are more objective.
Keywords
electronic commerce; fuzzy neural nets; e-commerce; fuzzy neural network; reputation estimation system; Adaptive systems; Appraisal; Discussion forums; Fuzzy neural networks; Fuzzy systems; Heart; IP networks; Logistics; Security; Technology management; E-Commerce; Fuzzy Neural Network; Reputation Estimation System;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498683
Filename
5498683
Link To Document