Multi-agent evolutionary design of Beta fuzzy systems

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2014.6891722 ◽

2014 ◽

Cited By ~ 5

Author(s):

Y. Jarraya ◽

S. Bouaziz ◽

Adel M. Alimi ◽

A. Abraham

Keyword(s):

Fuzzy Systems ◽

Evolutionary Design ◽

Multi Agent

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Multi-agent Approach for Visualisation of Fuzzy Systems

Lecture Notes in Computer Science - Computational Science — ICCS 2003 ◽

10.1007/3-540-44863-2_98 ◽

2003 ◽

pp. 995-1004 ◽

Cited By ~ 7

Author(s):

Binh Pham ◽

Ross Brown

Keyword(s):

Fuzzy Systems ◽

Multi Agent

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Evolutionary design of Sugeno-type fuzzy systems for modelling humanoid robots

International Journal of Systems Science ◽

10.1080/00207720903474314 ◽

2010 ◽

Vol 41 (7) ◽

pp. 875-888 ◽

Cited By ~ 6

Author(s):

Dong W. Kim ◽

Clarence W. de Silva ◽

Gwi-Tae Park

Keyword(s):

Fuzzy Systems ◽

Humanoid Robots ◽

Evolutionary Design

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Impulsive Exponential Consensus of Multi-agent Nonlinear Fuzzy Systems

Information Technology Journal ◽

10.3923/itj.2013.4052.4057 ◽

2013 ◽

Vol 12 (17) ◽

pp. 4052-4057

Author(s):

Liping Zhang ◽

Haibo Jiang

Keyword(s):

Fuzzy Systems ◽

Multi Agent

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Global iterative learning control based on fuzzy systems for nonlinear multi-agent systems with unknown dynamics

Information Sciences ◽

10.1016/j.ins.2021.12.027 ◽

2021 ◽

Author(s):

Shuai Zhang ◽

Jiaxi Chen ◽

Chan Bai ◽

Junmin Li

Keyword(s):

Iterative Learning Control ◽

Fuzzy Systems ◽

Learning Control ◽

Iterative Learning ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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Construction of Evolving Multi-Agent Systems Based on the Principles of Evolutionary Design

Lecture Notes in Electrical Engineering - Advances in Automation II ◽

10.1007/978-3-030-71119-1_20 ◽

2021 ◽

pp. 192-203

Author(s):

L. A. Gladkov ◽

N. V. Gladkova ◽

S. A. Gromov

Keyword(s):

Evolutionary Design ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent

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Evolutionary Design of Fuzzy Systems Based on Multi-objective Optimization and Dempster-Shafer Schemes

Communications in Computer and Information Science - Artificial Intelligence ◽

10.1007/978-3-030-30763-9_17 ◽

2019 ◽

pp. 203-217

Author(s):

Alexander I. Dolgiy ◽

Sergey M. Kovalev ◽

Anna E. Kolodenkova ◽

Andrey V. Sukhanov

Keyword(s):

Fuzzy Systems ◽

Evolutionary Design ◽

Multi Objective Optimization ◽

Multi Objective

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Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach

Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063) ◽

10.1109/fuzzy.2000.838701 ◽

2002 ◽

Cited By ~ 6

Author(s):

M.R. Delgado ◽

F. Von Zuben ◽

F. Gomide

Keyword(s):

Fuzzy Systems ◽

Evolutionary Design ◽

Hierarchical Approach ◽

Takagi Sugeno

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Multi-agent Cooperative Decision Making using Genetic Cascading Fuzzy Systems

AIAA Infotech @ Aerospace ◽

10.2514/6.2015-0888 ◽

2015 ◽

Cited By ~ 4

Author(s):

Nicholas D. Ernest ◽

Eloy Garcia ◽

David Casbeer ◽

Kelly Cohen ◽

Corey J. Schumacher

Keyword(s):

Decision Making ◽

Fuzzy Systems ◽

Multi Agent ◽

Cooperative Decision Making

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MAGAD-BFS: A learning method for Beta fuzzy systems based on a multi-agent genetic algorithm

Soft Computing ◽

10.1007/s00500-005-0012-z ◽

2005 ◽

Vol 10 (9) ◽

pp. 757-772 ◽

Cited By ~ 10

Author(s):

Ilhem Kallel ◽

Adel M. Alimi

Keyword(s):

Genetic Algorithm ◽

Fuzzy Systems ◽

Learning Method ◽

Multi Agent

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Hybridization of neural and fuzzy systems by a multi agent architecture for motor gearbox control

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(97)00014-6 ◽

1997 ◽

Vol 89 (3) ◽

pp. 309-319 ◽

Cited By ~ 3

Author(s):

M. Sturm ◽

K. Eder ◽

W. Brauer ◽

J.C. González

Keyword(s):

Fuzzy Systems ◽

Agent Architecture ◽

Multi Agent

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