A Survey on Genetic Fuzzy Systems

被引：1
作者：
Moghaddam, Mohammad Jahani [1 ]
机构：
[1] Islamic Azad Univ, Dept Elect Engn, Langarud Branch, Langarud, Iran
来源：
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING | 2025年 / 32卷 / 02期
基金：
英国科研创新办公室;
关键词：
RULE-BASED SYSTEMS; LOGIC BASED SYSTEM; SPECIAL-ISSUE; TRADE-OFF; FEATURE-SELECTION; NEURAL-NETWORKS; CLASSIFIER SYSTEMS; LEARNING-PROCESS; PERFORMANCE EVALUATION; EVOLUTIONARY APPROACH;
D O I：
10.1007/s11831-024-10157-9
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Fuzzy Systems have shown their ability for solving a wide range of problems in different application domains. Genetic Algorithms are applied to provide the learning and adaptation capabilities for designing fuzzy systems, and this composition is called genetic fuzzy systems (GFSs). This paper reviews the field of GFSs consisting of the pioneer articles, the most cited papers, GFS milestones, recent research trends and, future outlooks. Additionally, there is paid attention to a short discussion on some critical considerations of recent developments and suggestions for potential future research directions.
引用
收藏
页码：807 / 852
页数：46
相关论文
共 260 条
[51]  
Castillo Oscar, 2022, Interval type-3 fuzzy systems: theory and design
[52]  
Cazarez-Castro Nohe Ramon, 2008, 2008 8th International Conference on Hybrid Intelligent Systems (HIS), P216, DOI 10.1109/HIS.2008.170
[53]  
Celikyilmaz A, 2008, ANN M N AM FUZZ INF
[54]  
Chandra A, 2005, P ESANN 2005, ppp253
[55]  
Chandra A, 2004, LNCS, ppp619
[56]  
Chen G., 2011, INT REV COMPUT SOFTW, V6, P1339
[57]   Forecasting by TSK general type-2 fuzzy logic systems optimized with genetic algorithms [J].
Chen, Yang ;
Wang, Dazhi ;
Ning, Wu .
OPTIMAL CONTROL APPLICATIONS & METHODS, 2018, 39 (01) :393-409
[58]   Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration [J].
Cheng, CT ;
Ou, CP ;
Chau, KW .
JOURNAL OF HYDROLOGY, 2002, 268 (1-4) :72-86
[59]   A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems [J].
Cococcioni, Marco ;
Ducange, Pietro ;
Lazzerini, Beatrice ;
Marcelloni, Francesco .
SOFT COMPUTING, 2007, 11 (11) :1013-1031
[60]  
Coello CC., 2002, Evolutionary Algorithms for Solving Multi-Objective Problems, DOI DOI 10.1007/978-1-4757-5184-0
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