Abstract: Customers are realizing the importance and benefits of shopping online such as convenience, comparison, product research, larger selection, and lower prices. The dynamic nature of e-commerce evokes online businesses to make alterations in their business processes and decisions making to satisfy customers’ needs. Online businesses are adopting Business Intelligence (BI) tools and systems with the collaboration of fuzzy logic system to forecast the future of the e-commerce. With the aid of BI, businesses have more possibilities to choose types and structures of required information to serve customers. The fuzzy logic system and BI capabilities would allow both customers and vendors to make right decisions about online shopping. Many experts believe that trust and security are critical risk factors for the embracement of e-commerce. Online trust may be influenced by factors such as usability, familiarity and conducting business with unknown parties. This paper discusses fuzzy logic and BI approach to gauge the level of trust and security in online transactions. The paper further addresses the issues and concerns related to the equilibrium of trust, security, and usability in online shopping.

Fahim Akhter, “Implement Fuzzy Logic to Optimize Electronic Business Success” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(3), 2016. http://dx.doi.org/10.14569/IJARAI.2016.050302

@article{Akhter2016,
title = {Implement Fuzzy Logic to Optimize Electronic Business Success},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.050302},
url = {http://dx.doi.org/10.14569/IJARAI.2016.050302},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {3},
author = {Fahim Akhter}
}