Cyber Times International Journal of Technology & Management

This research work reports the design & development of a web based fuzzy expert system in specific domain. An enhanced approach namely Rule Advancement Strategy using Einstein Sum is proposed and implemented. This approach enables the expert system’s inference drawing ability with enhanced intelligence. The requirement of user changes according to region wise. But traditional expert system contain static rules, hence these static rules can’t be updated according to user & region requirement. After using this approach the priority of rules changes according to region and user requirement. A new algorithm using RAS is reported. At last a comparative chart is presented with existing technique: Rule Promotion Methodology. The RAS approach is found more intelligent than the existing technique. Using this technique an online fuzzy expert system is implemented in floriculture domain.