Abstract
Many theories are developed based on probability to deal with incomplete information. The fuzzy logic deals with belief rather than likelihood (probability). Zadeh first defined fuzzy set as a single membership function. The two fold fuzzy sets with two membership functions will give more evidence than a single membership one. Therefore there is need of fuzzy logic with two membership functions. In this paper, The fuzzy set is defined with two membership functions “Belief” and “Disbelief”. The fuzzy inference and fuzzy reasoning are studied for “a two fold fuzzy set”. The fuzzy certainty factor (FCF) is defined as a single membership function by taking difference between “ Belief” and “ Disbelief ”. The quantification of fuzzy truth variables are studied for “a two fold fuzzy set”. The medical expert system shell EMYCIN is given as an application of “a two fold fuzzy set”.
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 callDisclaimer: 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.
