Four methods of approximate reasoning with interval-valued fuzzy sets
β Scribed by I.B. Turksen
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 1019 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0888-613X
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This paper introduces and discusses a method of approximate inference which operates on the extension of the concept of a fuzzy set by the concept of an interval-valued fuzzy set. This method allows a formal, fuzzy representation to be built for verbal decision algorithms. Furthermore, it can have a
In this paper, interval-valued fuzzy relations between sets X and Y are introduced as fuzzy subsets of the cartesian product X Γ Y , and t-norms and t-conorms are chosen in such a way that as many properties of relations in 2-valued logic are preserved. Besides, we will see that if we require certai