An ANFIS-based on B2C electronic commerce transaction

Journal Article · Mon Oct 06 00:00:00 EDT 2014 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.4897764· OSTI ID:22307935

Lin, Juan ^[1]; Liu, Chenlian ^[2]; Guo, Yongning ^[3]

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1. Department of Mathematics and Computer Science, Fuqing Branch of Fujian Normal University, Fuqing 350300 (China)
2. School of Mathematics and Computer Science, Long Yan University, Longyan 364012 (China)
3. 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, Vol. 1618, Issue 1; Conference: ICCMSE 2014: International conference on computational methods in science and engineering 2014, Athens (Greece), 4-7 Apr 2014; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
DECISION MAKING
FUNCTIONS
FUZZY LOGIC
MATHEMATICAL MODELS
NETWORK ANALYSIS