This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet. The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.30. 31. 32. 33. 34. Mendel, J.M.: On answering the question a#39;where do I start in order to solve a new problem involving ... all authors (2006). http://ieee-cis.org/ _files/ standards.t2.win.pdf Mendel, J.M., John, R.I.: Type-2 fuzzy sets made simple.
Title | : | Advances in Type-2 Fuzzy Sets and Systems |
Author | : | Alireza Sadeghian, Jerry Mendel, Hooman Tahayori |
Publisher | : | Springer - 2013-06-25 |
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