An Approach to Strengthen Expert System Shell with Knowledge Illustration Established on Peak of the Fuzzy Logic

Several tools are used to develop expert systems with the help of either programming or developing a special shell. A good expert system shell is projected to hold uncertainty properly for use in attractive domains of applications that deal with imprecise information. In this paper, we have implemented and tested a shell using new inference methods with the support of fuzzy logic to achieve our goal.