A comparative study of adaptive neuro fuzzy inferences system (ANFIS) and fuzzy inference system (FIS) approach for trust in B2C electronic commerce websites

Journal of Convergence Information Technology

Volumn 6, Issue 9, 2011, Pages 25-43

  Nilashi, Mehrbakhsh ^a   Fathian, Mohammad ^b   Gholamian, Mohammad Reza ^b   Ibrahim, Othman Bin ^c   Talebi, Amir ^c   Ithnin, Norafida ^c  

^a Department of Computer Engineering   (United States)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

ANFIS; B2C; Electronic commerce; Fuzzy logic; Trust

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE; ANFIS; B2C; B2C ELECTRONIC COMMERCE; BUSINESS PROCESS; COMMERCIAL WEBSITES; COMPARATIVE STUDIES; FUZZY INFERENCE SYSTEMS; FUZZY LOGIC SYSTEM; FUZZY LOGICAL; NEURAL NETWORK LEARNING; NEURO-FUZZY MODEL; TRUST; TRUST SYSTEMS; WEB SITE DESIGN;

CUSTOMER SATISFACTION; ELECTRONIC COMMERCE; FUZZY LOGIC; FUZZY SYSTEMS; NEURAL NETWORKS; SALES; SURVEYS; USER INTERFACES;

FUZZY INFERENCE;

EID: 80053941720     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol6.issue9.4     Document Type: Article

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