An ANFIS-based on B2C electronic commerce transaction
Journal Article
·
· AIP Conference Proceedings
- Department of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University, Fuqing 350300 (China)
- School of Mathematics and Computer Science, Long Yan University, Longyan 364012 (China)
- Fuqing Branch of Fujian Normal University, Fuqing 350300 (China)
The purpose of this study is to use an adaptive-network-based fuzzy inference system to model a fuzzy logic-based system (FIS) for supporting decision-making process in B2C electronic commerce transaction. Firstly we introduce FIS in B2C electronic commerce transaction and ANFIS. Then we use ANFIS to model FIS with different membership functions(MF). Lastly we give a conclusion.
- OSTI ID:
- 22307935
- Journal Information:
- AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1618; ISSN APCPCS; ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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