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Modified bacterial memetic algorithm used for fuzzy rule base extraction

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CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

Pages 425 - 431

https://doi.org/10.1145/1456223.1456310

Published: 28 October 2008 Publication History

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Abstract

In this paper we discuss an improved version of the Bacterial Memetic Algorithm (BMA) used for fuzzy rule base extraction. In previous works we have found several ways to improve the original BMA. Some of them perform well rather in the case of more complex fuzzy rule base, and some of them perform well rather in the case of less complex fuzzy rule base. We have combined the improvements into a new version of the BMA that performs well in each case investigated.

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Cited By

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Buruzs AHatwagner MFoldesi PKoczy L(2015)Evaluation of waste management systems using fuzzy cognitive maps and optimization2015 10th Asian Control Conference (ASCC)10.1109/ASCC.2015.7244894(1-6)Online publication date: May-2015
https://doi.org/10.1109/ASCC.2015.7244894
Buruzs AHatwágner MKóczy L(2014)Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management SystemsJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2014.p053818:4(538-548)Online publication date: 20-Jul-2014
https://doi.org/10.20965/jaciii.2014.p0538
Buruzs AHatwágner MKóczy L(2014)Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive MapComplex System Modelling and Control Through Intelligent Soft Computations10.1007/978-3-319-12883-2_4(111-137)Online publication date: 30-Nov-2014
https://doi.org/10.1007/978-3-319-12883-2_4
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Index Terms

Modified bacterial memetic algorithm used for fuzzy rule base extraction
1. Computing methodologies
  1. Machine learning
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Machine learning theory
      1. Markov decision processes

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Published In

CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

October 2008

733 pages

ISBN:9781605580463

DOI:10.1145/1456223

Conference Chair:
Lotfi A. Zadeh
University of California
,
General Chairs:
Youakim Badr
INSA-Lyon, France
,
Ajith Abraham
Norwegian University of Science and Technology, Norway
,
Yukio Ohsawa
Tokyo Institute of Technology, Japan
,
Program Chairs:
Richard Chbeir
University of Bourgogne, France
,
Fernando Ferri
IRPPS-CNR, Italy
,
Mario Koeppen
Kyushu Institute of Technology, Japan
,
Dominique Laurent
University of Cergy-Pontoise, France

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2008

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Széchenyi University
Országos Tudományos Kutatási Alapprogramok

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Cited By

View all

Buruzs AHatwagner MFoldesi PKoczy L(2015)Evaluation of waste management systems using fuzzy cognitive maps and optimization2015 10th Asian Control Conference (ASCC)10.1109/ASCC.2015.7244894(1-6)Online publication date: May-2015
https://doi.org/10.1109/ASCC.2015.7244894
Buruzs AHatwágner MKóczy L(2014)Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management SystemsJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2014.p053818:4(538-548)Online publication date: 20-Jul-2014
https://doi.org/10.20965/jaciii.2014.p0538
Buruzs AHatwágner MKóczy L(2014)Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive MapComplex System Modelling and Control Through Intelligent Soft Computations10.1007/978-3-319-12883-2_4(111-137)Online publication date: 30-Nov-2014
https://doi.org/10.1007/978-3-319-12883-2_4
Buruzs AHatwagner MPozna RKoczy L(2013)Advanced learning of fuzzy cognitive maps of waste management by bacterial algorithm2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)10.1109/IFSA-NAFIPS.2013.6608518(890-895)Online publication date: Jun-2013
https://doi.org/10.1109/IFSA-NAFIPS.2013.6608518
Gal LLovassy RKoczy L(2013)Non-parametric and parametric t-norms applied in fuzzy rule extraction2013 IEEE 9th International Conference on Computational Cybernetics (ICCC)10.1109/ICCCyb.2013.6617607(299-302)Online publication date: Jul-2013
https://doi.org/10.1109/ICCCyb.2013.6617607
Gál LLovassy RRudas IKóczy L(2013)Learning the optimal parameter of the Hamacher t-norm applied for fuzzy-rule-based model extractionNeural Computing and Applications10.1007/s00521-013-1499-324:1(133-142)Online publication date: 22-Nov-2013
https://doi.org/10.1007/s00521-013-1499-3
Moscato PBerretta RCotta CCochran JCox LKeskinocak PKharoufeh JSmith J(2011)Memetic AlgorithmsWiley Encyclopedia of Operations Research and Management Science10.1002/9780470400531.eorms0515Online publication date: 14-Jan-2011
https://doi.org/10.1002/9780470400531.eorms0515
Kabziński J(2010)One-Dimensional Linear Local Prototypes for Effective Selection of Neuro-Fuzzy Sugeno Model Initial StructureArtificial Intelligence Applications and Innovations10.1007/978-3-642-16239-8_11(62-69)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16239-8_11
Botzheim JGál LKóczy L(2009)Fuzzy Rule Base Model Identification by Bacterial Memetic AlgorithmsRecent Advances in Decision Making10.1007/978-3-642-02187-9_3(21-43)Online publication date: 2009
https://doi.org/10.1007/978-3-642-02187-9_3

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