Results 211 to 220 of about 15,538 (259)
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
International Journal of Fuzzy Systems, 2022Jae-Won Shim, Hye-Young Jung
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Pattern Recognition Letters, 1994
To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles. >
Han, J.H., Kóczy, LszlT., Poston, T.
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To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is described for detecting lines and circles. >
Han, J.H., Kóczy, LszlT., Poston, T.
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Fuzzy transform in the analysis of data
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Irina Perfilieva +2 more
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Soft Computing, 2009
The fuzzy Laplace transform method solves fuzzy differential equations (FDEs) and corresponding fuzzy initial and boundary value problems. Fuzzy Laplace transforms reduce the problem of solving a FDE to an algebraic problem. This switching from operations of calculus to algebraic operations on transforms is called operational calculus, a very important
Tofigh Allahviranloo +1 more
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The fuzzy Laplace transform method solves fuzzy differential equations (FDEs) and corresponding fuzzy initial and boundary value problems. Fuzzy Laplace transforms reduce the problem of solving a FDE to an algebraic problem. This switching from operations of calculus to algebraic operations on transforms is called operational calculus, a very important
Tofigh Allahviranloo +1 more
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Fuzzy transformations and fuzzy residuated connections
Journal of Intelligent & Fuzzy Systems, 2019In this paper, we define residuated connections and Galois connections and investigate their properties in a Zhang’s fuzzy complete lattice sense. In fact, the relation between fuzzy transform and inverse fuzzy transform is a residuated connection. Using the properties of residuated connections we can solve fuzzy relation equations of fuzzy transform ...
Ju-Mok Oh, Yong Chan Kim
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Fuzzy differential equations by fuzzy-transform
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015The fuzzy transform setting (F-transform), as a tool for general continuous approximation of functions, is proposed to approximate the solution of ordinary, interval or fuzzy (levelwise) differential equations; in particular, one of the basic properties of inverse F-transform allows a good approximation of the solution x(t), starting with the uniform ...
Davide Radi, Luciano Stefanini
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A note on fuzzy-transform approximation of fuzzy numbers
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015A possibilistic representation of fuzzy numbers/intervals can be obtained in terms of a fuzzy distribution function (the average of the possibility and necessity functions). The fuzzy distribution function is monotonic non decreasing upper-semicontinuous and there exists a simple one-to-one correspondence between the space of such functions and the ...
Lucian C. Coroianu, Luciano Stefanini
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Spaces with fuzzy partitions and fuzzy transform
Soft Computing, 2017\par The paper considers a categorical approach to the setting of \(F\)-transforms of \textit{I. Perfilieva} [Fuzzy Sets Syst. 157, No. 8, 993--1023 (2006; Zbl 1092.41022)] from approximation theory. The author builds his machinery over an integral commutative quantale \(Q=(Q,\bigvee, \otimes, 1_Q)\) (see, e.g., [\textit{P.
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Fuzzy transforms: Theory and applications
Fuzzy Sets and Systems, 2006In this paper the technique of the direct and inverse fuzzy transform is introduced and approximation properties of the inverse fuzzy transform are established. Two new fuzzy transforms based on operations of a residuated lattice on \([0,1]\) are introduced. These new lattice fuzzy transforms lead to new approximation models. Three types of the inverse
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