Results 211 to 220 of about 16,154 (258)
Real-time healthcare staffing optimization using fuzzy logic and genetic algorithm. [PDF]
Saini B, Saini DK.
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MOO-IDS: multi-objective optimization-based lightweight intrusion detection system for in-vehicle networks. [PDF]
Hao Y +5 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. >
Laszlot Koczy
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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. >
Laszlot Koczy
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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
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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
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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
Irina Perfilieva
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Approximation properties of fuzzy transforms
Fuzzy Sets and Systems, 2011The goal of the paper is to enlarge the class of fuzzy transforms (F-transforms) by considering different types of fuzzy partitions. \ New types of F-transforms are constructed based on B-splines, Shepard kernels, Bernstein basis polynomials and Favard-Szaz-Mirakjan type operators. The approximation properties of these F-transforms are studied. A fuzzy
Imre J. Rudas, Barnabás Bede
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Applications of fuzzy Laplace transforms
Soft Computing, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tofigh Allahviranloo, Soheil Salahshour
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
International Journal of Fuzzy Systems, 2022Hye-Young Jung
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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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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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