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Łukasz Bartczuk
Publikacje (27)
2023 (2)
Bartczuk L., A New Linguistic Fuzzy PRISM Algorithm. (0)
A New Linguistic Fuzzy PRISM Algorithm
, A New Linguistic Fuzzy PRISM Algorithm, IEEE International Conference on Fuzzy Systems, 2023, Liczba cytowań: 0
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism. (1)
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism
, A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm with Self-Adaptation Mechanism, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14125 LNAI, 14125 LNAI, 363-374, 2023, Liczba cytowań: 12021 (1)
Bartczuk L., A New Interval Type-2 Fuzzy PRISM Algorithm. (0)
A New Interval Type-2 Fuzzy PRISM Algorithm
, A New Interval Type-2 Fuzzy PRISM Algorithm, IEEE International Conference on Fuzzy Systems, 2021-July, 2021-July, 2021, Liczba cytowań: 02020 (3)
Dziwinski P., Bartczuk L., Paszkowski J., A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. (18)
A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
, A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 95-111, 2020, Liczba cytowań: 18
Bartczuk L., Dziwinski P., Goetzen P., Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm. (1)
Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm
, Nonlinear Fuzzy Modelling of Dynamic Objects with Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12415 LNAI, 12415 LNAI, 315-325, 2020, Liczba cytowań: 1
Dziwinski P., Bartczuk L., A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic. (82)
A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic
, A New Hybrid Particle Swarm Optimization and Genetic Algorithm Method Controlled by Fuzzy Logic, IEEE Transactions on Fuzzy Systems, 28, 28, 1140-1154, 2020, Liczba cytowań: 822019 (1)
Dziwinski P., Bartczuk L., Goetzen P., A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm. (6)
A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm
, A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 432-444, 2019, Liczba cytowań: 62018 (2)
Bartczuk L., Dziwinski P., Cader A., Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects. (0)
Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects
, Symbolic regression with the AMSTA+GP in a non-linear modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 504-515, 2018, Liczba cytowań: 0
Dziwinski P., Bartczuk L., Przybyszewski K., A population based algorithm and fuzzy decision trees for nonlinear modeling. (4)
A population based algorithm and fuzzy decision trees for nonlinear modeling
, A population based algorithm and fuzzy decision trees for nonlinear modeling, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 516-531, 2018, Liczba cytowań: 42017 (2)
Bartczuk L., Dziwinski P., Red'Ko V.G., The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming. (6)
The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming
, The concept on nonlinear modelling of dynamic objects based on state transition algorithm and genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 209-220, 2017, Liczba cytowań: 6
Dziwinski P., Bartczuk L., Tingwen H., A method for non-linear modelling based on the capabilities of PSO and GA algorithms. (5)
A method for non-linear modelling based on the capabilities of PSO and GA algorithms
, A method for non-linear modelling based on the capabilities of PSO and GA algorithms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 221-232, 2017, Liczba cytowań: 52016 (4)
Bartczuk L., Gene expression programming in correction modelling of nonlinear dynamic objects. (19)
Gene expression programming in correction modelling of nonlinear dynamic objects
, Gene expression programming in correction modelling of nonlinear dynamic objects, Advances in Intelligent Systems and Computing, 429, 429, 125-134, 2016, Liczba cytowań: 19
Bartczuk L., Galushkin A.I., A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming. (5)
A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming
, A new method for generating nonlinear correction models of dynamic objects based on semantic genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 249-261, 2016, Liczba cytowań: 5
Bartczuk L., Lapa K., Koprinkova-Hristova P., A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming. (12)
A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming
, A new method for generating of fuzzy rules for the nonlinear modelling based on semantic genetic programming, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 262-278, 2016, Liczba cytowań: 12
Bartczuk L., Przybyl A., Cpalka K., A new approach to nonlinear modelling of dynamic systems based on fuzzy rules. (36)
A new approach to nonlinear modelling of dynamic systems based on fuzzy rules
, A new approach to nonlinear modelling of dynamic systems based on fuzzy rules, International Journal of Applied Mathematics and Computer Science, 26, 26, 603-621, 2016, Liczba cytowań: 362015 (1)
Bartczuk L., Przybyl A., Koprinkova-Hristova P., New method for non-linear correction modelling of dynamic objects with genetic programming. (9)
New method for non-linear correction modelling of dynamic objects with genetic programming
, New method for non-linear correction modelling of dynamic objects with genetic programming, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 318-329, 2015, Liczba cytowań: 92014 (2)
Dziwinski P., Bartczuk L., Przybyl A., Avedyan E.D., A new algorithm for identification of significant operating points using swarm intelligence. (33)
A new algorithm for identification of significant operating points using swarm intelligence
, A new algorithm for identification of significant operating points using swarm intelligence, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 349-362, 2014, Liczba cytowań: 33
Bartczuk L., Przybyl A., Koprinkova-Hristova P., New method for nonlinear fuzzy correction modelling of dynamic objects. (26)
New method for nonlinear fuzzy correction modelling of dynamic objects
, New method for nonlinear fuzzy correction modelling of dynamic objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 169-180, 2014, Liczba cytowań: 262013 (1)
Bartczuk L., Przybyl A., Dziwinski P., Hybrid state variables - Fuzzy logic modelling of nonlinear objects. (19)
Hybrid state variables - Fuzzy logic modelling of nonlinear objects
, Hybrid state variables - Fuzzy logic modelling of nonlinear objects, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 227-234, 2013, Liczba cytowań: 192012 (2)
Bartczuk L., Dziwinski P., Starczewski J.T., A new method for dealing with unbalanced linguistic term set. (27)
A new method for dealing with unbalanced linguistic term set
, A new method for dealing with unbalanced linguistic term set, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 207-212, 2012, Liczba cytowań: 27
Dziwinski P., Bartczuk L., Starczewski J.T., Fully controllable ant colony system for text data clustering. (26)
Fully controllable ant colony system for text data clustering
, Fully controllable ant colony system for text data clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 199-205, 2012, Liczba cytowań: 262010 (3)
Dziwinski P., Starczewski J.T., Bartczuk L., New linguistic hedges in construction of interval type-2 FLS. (14)
New linguistic hedges in construction of interval type-2 FLS
, New linguistic hedges in construction of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 445-450, 2010, Liczba cytowań: 14
Bartczuk L., Dziwinski P., Starczewski J.T., New method for generation type-2 fuzzy partition for FDT. (16)
New method for generation type-2 fuzzy partition for FDT
, New method for generation type-2 fuzzy partition for FDT, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 275-280, 2010, Liczba cytowań: 16
Starczewski J.T., Bartczuk L., Dziwinski P., Marvuglia A., Learning methods for type-2 FLS based on FCM. (20)
Learning methods for type-2 FLS based on FCM
, Learning methods for type-2 FLS based on FCM, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 224-231, 2010, Liczba cytowań: 202009 (1)
Bartczuk L., Rutkowska D., Medical diagnosis with type-2 fuzzy decision trees. (24)
Medical diagnosis with type-2 fuzzy decision trees
, Medical diagnosis with type-2 fuzzy decision trees, Advances in Intelligent and Soft Computing, 65, 65, 11-21, 2009, Liczba cytowań: 242008 (1)
Bartczuk L., Rutkowska D., Type-2 fuzzy decision trees. (20)
Type-2 fuzzy decision trees
, Type-2 fuzzy decision trees, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 197-206, 2008, Liczba cytowań: 202006 (1)
Bartczuk L., Rutkowska D., A new version of the fuzzy-ID3 algorithm. (23)
