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The systems use a fuzzy semantic import approach that enables the integration of multi-disciplinary knowledge in basic sets of fuzzy rules.
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Based on level sets of fuzzy sets, we propose definitions of limits of sequences of fuzzy sets, and limits and derivatives of fuzzy set-valued mappings.
It also reviews the basic concepts of fuzzy sets and the definitions needed for fuzzy clustering and presents several of the best-known fuzzy clustering algorithms and fuzzy learning vector quantization.
In this section, we recall some basic definitions of fuzzy sets theory [22].
Basic concepts of fuzzy set and membership function.
The basic idea of fuzzy set theory hinges on fuzzy membership function.
The basic idea of fuzzy set theory is simple and natural.
Since 1965, a higher importance in scientific environment has been given to fuzzy theory by Zadeh (1965), when he presented the basic concepts of fuzzy set theory.
The two basic components of fuzzy systems are fuzzy sets and operations on fuzzy sets.
In this paper, the theory of fuzzy sets, especially fuzzy modeling, is employed to represent fatigue life and deformation relations as a set of fuzzy rules.
The -level set of fuzzy numbers is.
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