An ANFIS-Based on B2C Electronic Commerce Transaction

被引：2
|
作者：
Lin, Juan [1 ]
Liu, Chenlian [2 ]
Guo, Yongning [3 ]
机构：
[1] Fujian Normal Univ, Fuqing Branch, Dept Math & Comp Sci, Fuqing 350300, Peoples R China
[2] Long Yan Univ, Sch Math & Comp Sci, Longyan 364012, Peoples R China
[3] Fuging Branch Fujian Normal Univ, Furling 350300, Peoples R China
来源：
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014) | 2014年 / 1618卷
基金：
中国国家自然科学基金;
关键词：
Business-to-Consumer; E-Commerce; Fuzzy Logic; ANFIS; SYSTEM;
D O I：
10.1063/1.4897764
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
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.
引用
收藏
页码：423 / 425
页数：3
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