skip to main content

SciTech ConnectSciTech Connect

Title: An ANFIS-based on B2C electronic commerce transaction

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.
Authors:
 [1] ;  [2] ;  [3]
  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)
Publication Date:
OSTI Identifier:
22307935
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1618; Journal 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)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; DECISION MAKING; FUNCTIONS; FUZZY LOGIC; MATHEMATICAL MODELS; NETWORK ANALYSIS