A Comparative Study of Adaptive Neuro Fuzzy Inferences System (ANFIS) and Fuzzy Inference System (FIS) Approach for Trust in B2C Electronic Commerce Websites Mehrbakhsh Nilashi, Mohammad Fathian, Mohammad Reza Gholamian, Othman bin Ibrahim, Amir Talebi , Norafida Ithnin A Comparative Study of Adaptive Neuro Fuzzy Inferences System (ANFIS) and Fuzzy Inference System (FIS) Approach for Trust in B2C Electronic Commerce Websites *1 Mehrbakhsh Nilashi, 2 Mohammad Fathian, 3 Mohammad Reza Gholamian, 4 Othman bin Ibrahim, 5 Amir Talebi , 6 Norafida Ithnin *1 Department of Computer Engineering, Islamic Azad University of Roudsar and Amlash, Nilashidotnet@Yahoo.com 2 Department of Industrial Engineering, Iran University of Science & Technology, Fathian@iust.ac.ir 3 Department of Industrial Engineering, Iran University of Science & Technology, Gholamian@iust.ac.ir 4 Department of Computer Science and Information System, Universiti Teknologi Malaysia, Othmanibrahim@utm.my 5 Department of Computer Science and Information System, Universiti Teknologi Malaysia, Amirtalebi@gmail.com 6 Department of Computer Science and Information System, Universiti Teknologi Malaysia, Afida@utm.my Abstract This paper presents A comparative Study of Adaptive Neuro Fuzzy Inferences System (ANFIS) and Fuzzy Inference System (FIS) Approach for Trust in B2C Electronic Commerce Websites. The proposed model in this study applies Adaptive Neuro-Fuzzy model to converging business processes to get the desired results. The system is adaptive since it uses neural network learning ability for its adaptation. The results of this study show that the security, web site design and familiarity, directly influence user’s trust in e-businesses since these factors lie the closest to the user and are deciding factors for the users and influence their decisions regarding transactions in e-commerce. These results can be of importance for vendors since they show how the customers perceive trust and which factors can directly influence their trust in a vendor and their experience with e-commerce and that the factors can play a deciding role on whether or not a customer will make a purchase. The study also provides a device for sellers to improve their commercial websites. The data was collected via interviews, surveys and B2C websites. Two questionnaires were used in this study. The first questionnaire was developed for e-commerce experts, and the second one was designed for the customers of commercial websites. Also, Expert Choice is used to determine the priority of factors in the first questionnaire, and MATLAB and Excel are used for developing the Fuzzy rules. Finally, the Fuzzy logical kit was used to analyze the generated factors in the model. New method was compared with previous Expert E-Commerce Trust System that was developed by Fuzzy Logic system. Keywords: ANFIS, Electronic Commerce, Fuzzy Logic, Trust, B2C. 1. Introduction In the 21st century, e-Commerce might not be able to guarantee making money for the company, but company, which doesn‘t think about the issue of commerce, will definitely face the problem of competence deficiency [1].One of the most important types of e-Commerce, classified according to the nature of the supplier and client, is Business to Consumer (B2C). In this type, consumer accesses to the system of the supplier [2].Thus Extensive research has been done investigating the role of trust in online purchase intention and behaviors, and the difference between initial and repeat trust formation and maintenance [3]. Journal of Convergence Information Technology(JCIT) Volume6, Number9, September 2011 doi:10.4156/jcit.vol6.issue9.4 25