Results 251 to 260 of about 2,876,440 (332)
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, 2020
In this chapter we introduce the basic concepts of fuzzy transform (F-transform, for short). In the first paragraph, the basics concerning fuzzy sets and fuzzy relationships are discussed. Then the concepts of fuzzy partition, uniform and h-uniform fuzzy partitions are introduced.
Ferdinando Di Martino, S. Sessa
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In this chapter we introduce the basic concepts of fuzzy transform (F-transform, for short). In the first paragraph, the basics concerning fuzzy sets and fuzzy relationships are discussed. Then the concepts of fuzzy partition, uniform and h-uniform fuzzy partitions are introduced.
Ferdinando Di Martino, S. Sessa
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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.
J. Močkoř
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
International Journal of Fuzzy Systems, 2022Hee-Jun Min +4 more
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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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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
Allahviranloo, Tofigh +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
Allahviranloo, Tofigh +1 more
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International Journal of Fuzzy Mathematical Archive, 2019
In this work we show how to convert from Sadik transform to fuzzy Sadik transform (FST) and prove some properties of (FST). Also we find fuzzy Sadik transform of fuzzy derivatives about first, second and third order, and we generalized these formulas to the fuzzy nth- order derivative by using strongly generalized Hdifferentiability concepts.
Roaa Hameed Hasan, Amal Muhammad Darwish
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In this work we show how to convert from Sadik transform to fuzzy Sadik transform (FST) and prove some properties of (FST). Also we find fuzzy Sadik transform of fuzzy derivatives about first, second and third order, and we generalized these formulas to the fuzzy nth- order derivative by using strongly generalized Hdifferentiability concepts.
Roaa Hameed Hasan, Amal Muhammad Darwish
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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 ...
Oh, Ju-Mok, Kim, Yong Chan
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Fuzzy Transform for Contrast Enhancement of Nonuniform Illumination Images
IEEE Signal Processing Letters, 2018Contrast enhancement of nonuniform illumination image is a challenging area of image processing. Retinex-based algorithms have been widely adopted to enhance nonuniform illumination images for decades.
Reshmalakshmi Chandrasekharan, S. M.
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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 ...
Radi, Davide, Stefanini, Luciano
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Fuzzy Transform for Fuzzy Fredholm Integral Equation
2021This work pursues two goals: to solve a fuzzy Fredholm integral equation of the second kind and to propose a new numerical method inspired by the theory of fuzzy (F-) transforms. This approach allows us to transform the fuzzy Fredholm integral equation into a system of algebraic equations. The solution to this algebraic system determines an approximate
Irina Perfilieva, Pham Thi Minh Tam
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