Abstract—Fuzzy Rule based system for e-commerce is a system consists of a rule repository and a mechanism for accessing and running the rules. The repository is often constructed with a collection of related rule sets these are business policies, security policies or transaction policies. Fuzzy logic as the principal method of evaluating rules. Fuzzy Logic rules should be organized and written to address the uncertainty and imprecision of business decisions. This system can assist the consumer to take suitable decision in complicated situation and imprecise information, by attempting to capture knowledge in terms of a set of rules. Today it is very common to buy goods online. When customers buy something, they usually want to compare several products and trying to find the best choice.
Security includes authenticating business transactions, controlling access to resources such as Web pages for registered or selected users, encrypting communications, and, in general, ensuring the privacy and effectiveness of transactions.
Index Terms—Fuzzy logic, E-business, fuzzy rules
Pankaj Dashore, Reader, SOC&E IPS Academy, Indore.
Dr. Suresh Jain, Professor, IET DAVV, Indore
Cite: Pankaj Dashore and Dr. Suresh Jain, "Fuzzy Rule Based Expert System to Represent Uncertain Knowledge of E-commerce," International Journal of Computer Theory and Engineering vol. 2, no. 6, pp. 882-886, 2010.