Abstract
A number of difficulties with present-day fuzzy-set theory is pointed out in order to justify the necessity of a modified approach to this theory. For each difficulty, its resolution in a modified approach, called TEE model, is outlined. The paper is therefore also a short survey of the TEEJ model theory for grades of membership. Superficially stated, this model interprets a membership value μ λ (u ex ) assigned by a subject to an object of attribute value u ex as his estimate of the probability that the label λ would be assigned to that object in an LB (labeling) or YN (yes-no) experiment; e.g. by himself under nonexact conditions of observation; or by another subject.
Sign-in/Register to access full text options 
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.
