Abstract

Non classical logics were introduced to allow handling imperfect concepts in intelligent systems. One of the principal non classical logic is multi-valued logic that has the particularity to support symbolic data. We introduced in a previous work an approximate reasoning in the multi-valued framework based on linguistic modifiers that checks approximate reasoning axiomatics. This paper describes the development of software model for the treatment of imperfection with our approach of approximate reasoning. It is a knowledge-based systems shell for symbolic data called RAMOLI. This shell provides simple and interactive Graphical User Interface to introduce knowledge and to infer with our approximate reasoning.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.