Published in Ahmad, R., & Rahimi, S. (2005). A perception based, domain specific expert system for question-answering support. Annual Meeting of the North American Fuzzy Information Processing Society, 2005. NAFIPS 2005, 454-459. doi: 10.1109/NAFIPS.2005.1548578 ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.


The ability to search has become an integral part of our interaction with technology. However, the current search technologies mostly use a keyword based searching mechanism, which does not have any deductive abilities. The recent introduction of the idea of Computing with Words, which can give deduction abilities to existing technologies, provides a new base for developing frameworks. This paper proposes implementation of a domain specific Fuzzy Expert System based on a question-answer system, which employs Computing with Words. In order to perform the translation of natural language sentences into a standard format, Probabilistic Context-Free Grammar is used.