Research on Reputation Estimation System of E-Commerce Based on Fuzzy Neural Network

被引：1

作者：

Sang, Jinyan ^{[1
]}

Qi, Zhenfa ^{[1
]}

机构：

[1] Shandong Univ Technol, Sch Management, Zibo 255049, Peoples R China

来源：

2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年

关键词：

Reputation Estimation System; E-Commerce; Fuzzy Neural Network;

D O I：

10.1109/CCDC.2010.5498683

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1866 / 1869

页数：4

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