4. The Approximation Results. In the continuous domain case, a fuzzy structure (or possibility distribution) is characterized by a function f:D \rightarrow [0,1] ...
Measures of information based on fuzzy sets have been defined both for finite and for continuous universes. In the continuous case, the measure of information I ...
We consider the approximation problem in more detail, and study the convergence of I(π(N)) to I(f) in terms of the smoothness properties of f itself (modulus of ...
We consider the approximation problem in more detail, and study the convergence of I(p (N)) to I( f) in terms of the smoothness properties of f itself (modulus ...
... A fuzzy relation defined on continuous domain can be seen as a hypersurface defined on the given universe. We can take the hypersurface as a whole and ...
4. THE APPROXIMATION RESULTS In the continuous domain case, a fuzzy structure (or possibility distribution) is characterized by a function f : D ! ½0; 1 ; with ...
Oct 31, 2024 · Inspired by fuzzy information processing theory, this paper introduces the DDSR model, which uses fuzzy sets of interaction sequences to ...
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Aug 20, 2020 · Bibliographic details on Fuzzy Information On Discrete And Continuous Domains: Approximation Results.
PDF | On Jan 1, 2013, N Khademi and others published Deriving Fuzzy Inequalities Using Discrete Approximation of Fuzzy Numbers | Find, read and cite all the ...
However, each comparison made between two fuzzy numbers or a fuzzy number and a crisp one can be placed in the domain of fuzzy comparisons and fuzzy.