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Color image enhancement by fuzzy intensification
2003
Pattern Recognition Letters
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We introduce a new contrast intensification operator, which involves a parameter t for enhancement of color images. ...
After substituting for the membership function in (6) from (3) and (5) and maximizing C with respect to f h , we can derive an approximate formula by taking the first two terms in the expansion of ...
This would make the new intensification operator more general as the enhancement can be made bereft of visual assessment. ...
doi:10.1016/s0167-8655(02)00191-5
fatcat:ixrpu2lz4ne5rbw6vh2h2hjlwy
Adaptive fuzzy contrast factor enhancement technique for low contrast and nonuniform illumination images
2012
Signal, Image and Video Processing
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A new parameter called the contrast factor which will provide information on the difference among the gray-level values in the local neighborhood is proposed. ...
However, this method suffers from high computational time and difficulty in generating a fuzzy rule. ...
The Gaussian functions are modified to fuzzify dark (i.e., underexposed) and bright (overexposed) regions separately as derived in Eqs. ...
doi:10.1007/s11760-012-0398-x
fatcat:mo3z2djmzfg4bd5u6qzovu4vj4
Nonsingleton fuzzy logic systems: theory and application
1997
IEEE transactions on fuzzy systems
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interpretation of a NSFLS as a SFLS in the special case of Gaussian membership functions and product inference, and the referees who suggested improvements to the statement and proof of the universal approximation ...
Conceptually, the nonsingleton fuzzifier implies that the given input value is the most likely value to be the correct one from all the values in its immediate neighborhood; however, because the input ...
Mendel, Fellow, IEEE Abstract-In this paper, we present a formal derivation of general nonsingleton fuzzy logic systems (NSFLS's) and show how they can be efficiently computed. ...
doi:10.1109/91.554447
fatcat:tevkfoc6angpniztnfm7ope7uu
A comprehensive study of upward fuzzy preference relation based fuzzy rough set models: Properties and applications in treatment of coronavirus disease
2021
International Journal of Intelligent Systems
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Thereafter on the basis of α-upward fuzzified preference rough sets, we propose approximate preci- ...
In this paper, we first introduce a new type of rough sets called α-upward fuzzified preference rodownward fuzzy preferenceugh sets using upward fuzy preference relation. ...
In rough set theory, creating a pair of approximation operators called lower and upper approximation operators is important. ...
doi:10.1002/int.22433
fatcat:uhhpmfaxjjgqtkv5mawzyir2ti
An Optimal Fuzzy System for Color Image Enhancement
2006
IEEE Transactions on Image Processing
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Index Terms-Enhancement, entropy, fuzzifier, fuzzy contrast, image quality, intensification operator, quality factor and visual factor. ...
We introduce a global contrast intensification operator (GINT), which contains three parameters, viz., intensification parameter , fuzzifier , and the crossover point , for enhancement of color images. ...
Enhancement of the fuzzified image is carried out using a general intensification operator GINT of sigmoid type, which depends on the crossover point and the intensification parameter . ...
doi:10.1109/tip.2006.877499
pmid:17022262
fatcat:jgd4hscrqje5dfhs2eaeablsae
Reference Function Based Spatiotemporal Fuzzy Logic Control Design Using Support Vector Regression Learning
2013
Journal of Applied Mathematics
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Furthermore, the universal approximation capability of the proposed 3D fuzzy system is proven in terms of the finite covering theorem. ...
The nonlinear mathematical expression of the reference function based 3D FLC is derived, and spatial fuzzy basis functions are defined. ...
Acknowledgment This work was supported by the project from the National Science Foundation of China under Grant no. 61273182, no. 51375293, and no. 61171145. ...
doi:10.1155/2013/410279
fatcat:5qdqd6qijfe6jnx3bkjxivjota
Page 2486 of Mathematical Reviews Vol. , Issue 86f
[page]
1986
Mathematical Reviews
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Prade [Fuzzy sets and systems, Academic Press, New York, 1980; MR 82c:03074] studied fuzzified functions of type L-R. ...
Alma) ¢ This paper shows that the local deriva- tive is equivalent to the distributional derivative, a result which is unexpected since local and weak convergence do not coincide in general. E. L. ...
Adaptive control of a class of nonlinear systems with fuzzy logic
1994
IEEE transactions on fuzzy systems
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Global asymptotic stability of the algorithm is established in the Lyapunov sense, with tracking errors converging to a neighborhood of zero. ...
Simulation results for an unstable nonlinear plant are included to demonstrate that incorporating the linguistic fuzzy information from human experts results in superior tracking performance. ...
Section I11 is devoted to the general problem of function approximation using fuzzy IF-THEN rules from human experts. ...
doi:10.1109/91.324808
fatcat:z2fajxcwqbcu3fefuwdmuhbp54
On the Use of Fuzzy Logic to Control Paralleled DC-DC Converters
[chapter]
2002
Studies in Fuzziness and Soft Computing
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The design uses a PID expert to derive the fuzzy inference rules, and simulation results show a good parameter insensitive transient response over a wide range load-step responses, e.g., from 25% to 75% ...
The technique benefits also from the heuristic approach to the problem that overcomes the complexity in modeling such systems and, hence, offers a practical engineering tool, amenable to both analog and ...
This is because, as known, the linearization around the steady-state operating point can only predict the plant behavior in the neighborhood of the respective operating point. ...
doi:10.1007/978-3-7908-1783-6_4
fatcat:gnlutlh5obhlblkkxxgcnri6rm
Page 998 of Mathematical Reviews Vol. , Issue 99b
[page]
1991
Mathematical Reviews
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Such conditions are found under the following assumptions: the nonlinear n-dimensional vector-function Z(x,k,¢) has bounded derivative with respect to the first argument in a neighborhood of the generating ...
A pre- requisite Fredholm and adjoint operator theory for linear periodic systems is developed. ...
Input Uncertainty Sensitivity Enhanced Nonsingleton Fuzzy Logic Controllers for Long-Term Navigation of Quadrotor UAVs
2018
IEEE/ASME transactions on mechatronics
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system (ROS) using the C++ programming language. ...
The performance of the Cen-NSFLC is compared with a conventional proportional integral derivative (PID) controller, a singleton FLC (SFLC) and a Tra-NSFLC. ...
This work was also partially funded by the RCUK's EP/M02315X/1 From Human Data to Personal Experience grant. ...
doi:10.1109/tmech.2018.2810947
fatcat:q3t3zao2krcrlmvw6s4qjcdkpa
Adaptive Type-2 Fuzzy Sliding Mode Controller for SISO Nonlinear Systems Subject to Actuator Faults
2013
International Journal of Automation and Computing
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Two adaptive type-2 fuzzy logic systems are used to approximate the unknown functions, whose adaptation laws are deduced from the stability analysis. ...
In this paper, an adaptive type-2 fuzzy sliding mode control to tolerate actuator faults of unknown nonlinear systems with external disturbances is presented. ...
Fuzzifier The fuzzifier maps a crisp input vector with n input fuzzy sets, which can be type-2 (T2) fuzzy input setsÃx [33, 34] in general. ...
doi:10.1007/s11633-013-0729-6
fatcat:vjqcxx2smzdwzoidpsr7uxlify
A fuzzy-based optimal reactive power control
1993
IEEE Transactions on Power Systems
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The objectives are to minimize real power losses and improve the voltage profile of a given system. ...
Results for the application of this approach on test systems reveal its numerous advantages. ...
In order to use LP, this convex objective function is linearized in the neighborhood of the current operating state of the system. ...
doi:10.1109/59.260814
fatcat:urvqep46t5gsdek2a52jqg4oem
Formalized Conceptual Spaces with a Geometric Representation of Correlations
[article]
2018
arXiv
pre-print
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Moreover, we define various operations for our formalization, both for creating new concepts from old ones and for measuring relations between concepts. ...
In order to derive M ( C), we first describe how to compute V ( C α ), i.e., the size of a fuzzified cuboid's α-cut. Using Equation 1, we can then derive M ( C), which we can d := p + d − p − d . ...
l=1 (−1) l+1 · {i 1 ,... ...
arXiv:1801.03929v1
fatcat:lssbmrjg75d5xi4ja2syeuoesm
A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data
2018
Renewable Energy
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is proposed to provide an accurate forecast of the medium-term 19 and long-term wind power by using the uncertain data from an online supervisory control and data 20 acquisition (SCADA) system and the ...
In 24 addition, the T2FNN-PSO can appropriately handle the uncertainties associated with the measured 24 and operation of power systems [1]. 25 Recently, a large number of methods have been presented to ...
Eleanor neighborhood of Summerside, Prince Edward 5 Island, Canada. ...
doi:10.1016/j.renene.2017.12.023
fatcat:i5uv6cfy35anbhmi6sni5c5fa4
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