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Publication search results
found 209 matches
- 2024
- Tao Zhao, Yue Zhu, Xiangpeng Xie:
Topology structure optimization of evolutionary hierarchical fuzzy systems. Expert Syst. Appl. 238(Part B): 121857 (2024) - Jianshe He, Zhong Chen:
Multi-objective optimization problem-solving based on evolutionary algorithms and chaotic systems. J. Intell. Fuzzy Syst. 46(2): 3593-3603 (2024) - 2023
- Tao Zhao, Chengsen Chen, Hongyi Cao, Songyi Dian, Xiangpeng Xie:
Multiobjective Optimization Design of Interpretable Evolutionary Fuzzy Systems With Type Self-Organizing Learning of Fuzzy Sets. IEEE Trans. Fuzzy Syst. 31(5): 1638-1652 (2023) - 2022
- Wu-Chung Su, Chia-Feng Juang, Chi-Ming Hsu:
Multiobjective Evolutionary Interpretable Type-2 Fuzzy Systems With Structure and Parameter Learning for Hexapod Robot Control. IEEE Trans. Syst. Man Cybern. Syst. 52(5): 3066-3078 (2022) - 2020
- Chia-Feng Juang, Trong Bac Bui:
Reinforcement Neural Fuzzy Surrogate-Assisted Multiobjective Evolutionary Fuzzy Systems With Robot Learning Control Application. IEEE Trans. Fuzzy Syst. 28(3): 434-446 (2020) - 2019
- Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni:
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? IEEE Comput. Intell. Mag. 14(1): 69-81 (2019) - Samuel López, Antonio A. Márquez, Francisco Alfredo Márquez, Antonio Peregrín:
Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments. Cogn. Comput. 11(3): 388-399 (2019) - Salma Elhag, Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems. Soft Comput. 23(4): 1321-1336 (2019) - Adriano S. Koshiyama, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective. WIREs Data Mining Knowl. Discov. 9(2) (2019) - 2017
- Danilo Pelusi, Raffaele Mascella, Luca G. Tallini:
Revised Gravitational Search Algorithms Based on Evolutionary-Fuzzy Systems. Algorithms 10(2): 44 (2017) - Steven M. Corns:
James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation - John Wiley and Sons, 2016, 378 pp, ISBN 978-1-110-21434-2. Genet. Program. Evolvable Mach. 18(1): 119-120 (2017) - Michela Antonelli, Dario Bernardo, Hani Hagras, Francesco Marcelloni:
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification. IEEE Trans. Fuzzy Syst. 25(2): 249-264 (2017) - Carlos Kavka:
Evolutionary Fuzzy Systems. Encyclopedia of Machine Learning and Data Mining 2017: 451-457 - 2016
- Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera:
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). Int. J. Approx. Reason. 73: 108-122 (2016) - Chin-Wang Tao, Chen-Chia Chuang, Hsu-Chih Huang:
Editorial Message: Special Issue on Advances in Evolutionary Fuzzy Systems. Int. J. Fuzzy Syst. 18(6): 939 (2016) - Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María José del Jesus:
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. R J. 8(2): 307 (2016) - Julián Luengo, Ángel Miguel García-Vico, M. Dolores Pérez-Godoy, Cristóbal J. Carmona:
The influence of noise on the evolutionary fuzzy systems for subgroup discovery. Soft Comput. 20(11): 4313-4330 (2016) - Alberto Fernández, Francisco Herrera:
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion 2016: 169-200 - Edward Hinojosa Cárdenas, Heloisa A. Camargo, Yván J. Túpac:
Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition. FUZZ-IEEE 2016: 1445-1452 - Alberto Fernández, Sara del Río, Francisco Herrera:
A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification. FUZZ-IEEE 2016: 1437-1444 - Marian B. Gorzalczany, Filip Rudzinski:
An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems. FUZZ-IEEE 2016: 2227-2234 - Yosra Jarraya, Souhir Bouaziz, Adel M. Alimi, Ajith Abraham:
Evolutionary hierarchical fuzzy modeling of Interval Type-2 Beta Fuzzy Systems. SMC 2016: 3481-3486 - Harish Garg:
An Integrated Framework to Analyze the Performance of Process Industrial Systems Using a Fuzzy and Evolutionary Algorithm. Intelligent Decision Making in Quality Management 2016: 141-177 - 2015
- Saleh Alshomrani, Abdullah Bawakid, Seong-O Shim, Alberto Fernández, Francisco Herrera:
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets. Knowl. Based Syst. 73: 1-17 (2015) - Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera:
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowl. Based Syst. 80: 109-121 (2015) - Sajjad Fouladvand, Soroor Salavati, Pedram Masajedi, Afshin Ghanbarzadeh:
A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks. Int. J. Knowl. Based Intell. Eng. Syst. 19(2): 125-133 (2015) - Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera:
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. FUZZ-IEEE 2015: 1-7 - Vladimir Stanovov, Eugene Semenkin, Olga Semenkina:
Instance Selection Approach for Self-Configuring Evolutionary Fuzzy Rule Based Classification Systems. IIAI-AAI 2015: 574-579 - Iván Cruz-Aceves, Arturo Hernández Aguirre:
Segmentation of Coronary Angiograms Using a Vesselness Measure and Evolutionary Thresholding. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 269-289 - Andrés Espinal, Juan Martín Carpio Valadez, Manuel Ornelas, Héctor Puga, Patricia Melin, Marco Aurelio Sotelo-Figueroa:
Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 89-101
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