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
[1]   Speeding up backpropagation using multiobjective evolutionary algorithms [J].
Abbass, HA .
NEURAL COMPUTATION, 2003, 15 (11) :2705-2726
[2]  
Abbass HA, 2003, IEEE C EVOL COMPUTAT, P2074
[3]  
Agrawal R., 1996, Advances in knowledge discovery and data mining, P307, DOI DOI 10.1007/978-3-319-31750-2.
[4]   Parallelism and evolutionary algorithms [J].
Alba, E ;
Tomassini, M .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (05) :443-462
[5]   A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems [J].
Alcala, R. ;
Gacto, M. J. ;
Herrera, F. ;
Alcala-Fdez, J. .
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2007, 15 (05) :539-557
[6]  
Alcala R, 2008, INT J UNCERTAIN FUZZ
[7]   Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation [J].
Alcala, Rafael ;
Alcala-Fdez, Jesus ;
Herrera, Francisco ;
Otero, Jose .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2007, 44 (01) :45-64
[8]   Special Issue on Evolutionary Fuzzy Systems [J].
Alcala, Rafael ;
Nojima, Yusuke ;
Ishibuchi, Hisao ;
Herrera, Francisco .
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2012, 5 (02) :209-211
[9]  
Alcalá R, 2009, EVOL INTELL, V2, P1, DOI 10.1007/s12065-009-0027-y
[10]   Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems [J].
Alcala-Fdez, Jesus ;
Herrera, Francisco ;
Marquez, Francisco ;
Peregrin, Antonio .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2007, 22 (09) :1035-1064
12345678910