In fuzzy logic, every word or phrase describing uncertainty is represented by a real number from the interval [0, 1]. There are only denumerable many words and phrases and continuum many real numbers; thus, not every real number corresponds to some common sense degree of uncertainty. In this article
Fuzzy values in fuzzy logic
โ Scribed by L. Godo; J. Jacas; L. Valverde
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 464 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0884-8173
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โฆ Synopsis
One of the main features of Fuzzy Logic is its capability to deal with the concept of compatibility between two propositions, in such a way that the inference process modeled through the Compositional Rule of Inference is independent from the particular possibility distributions involved. It is in this context that the compatibility functions can be considered as fuzzy truth values, labels or qualifications, playing the same role as the values true and false play in the Classical Logic, where the meaning of propositions is nothing but its truth value. In this article we consider a restricted family of labels having the following desirable properties: (a) easy parametric representation, (b) easy semantic interpretation, (c) to allow a gradation in the family according to the modifications performed by each label, and (d) to be closed under inference processes (FRfunctions), and also under some suitable and meaningful operations between them.
๐ SIMILAR VOLUMES
In this article, we first summarize the more important aspects of a fuzzy logic relational database and show how a fuzzy relational database can be represented and handled using first-order logic. Given that the results obtained for fuzzy databases are satisfactory, we then tackle the problem of unc
In science and engineering, there are ''paradoxical'' cases in which we have some ลฝ arguments in favor of some statement A so the degree to which A is known to be true is ลฝ . . positive nonzero , and we have some arguments in favor of its negation ! A, and we do not have enough information to tell w