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International Symposium on Intelligence Computation and Applications

ISICA 2009: Computational Intelligence and Intelligent Systems pp 266–275Cite as

A Novel Approach on Designing Augmented Fuzzy Cognitive Maps Using Fuzzified Decision Trees

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 51))

Abstract

This paper proposes a new methodology for designing Fuzzy Cognitive Maps using crisp decision trees that have been fuzzified. Fuzzy cognitive map is a knowledge-based technique that works as an artificial cognitive network inheriting the main aspects of cognitive maps and artificial neural networks. Decision trees, in the other hand, are well known intelligent techniques that extract rules from both symbolic and numeric data. Fuzzy theoretical techniques are used to fuzzify crisp decision trees in order to soften decision boundaries at decision nodes inherent in this type of trees. Comparisons between crisp decision trees and the fuzzified decision trees suggest that the later fuzzy tree is significantly more robust and produces a more balanced decision making. The approach proposed in this paper could incorporate any type of fuzzy decision trees. Through this methodology, new linguistic weights were determined in FCM model, thus producing augmented FCM tool. The framework is consisted of a new fuzzy algorithm to generate linguistic weights that describe the cause-effect relationships among the concepts of the FCM model, from induced fuzzy decision trees.

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Author information

Authors and Affiliations

  1. Department of Informatics & Computer Technology, Technological Educational Institute of Lamia, 3rd Km PEO Lamia-Athens, 35100, Lamia, Greece

    Elpiniki I. Papageorgiou

Authors
  1. Elpiniki I. Papageorgiou
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, 430074, Wu-Han, China

    Zhihua Cai

  2. State Key Laboratory of Novel Software Technology,, Nanjing University, P.O. Box, China

    Zhenhua Li

  3. Computation Center, Wuhan University, Wuhan, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, Japan

    Yong Liu

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© 2009 Springer-Verlag Berlin Heidelberg

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Papageorgiou, E.I. (2009). A Novel Approach on Designing Augmented Fuzzy Cognitive Maps Using Fuzzified Decision Trees. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04962-0_31

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  • DOI: https://doi.org/10.1007/978-3-642-04962-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04961-3

  • Online ISBN: 978-3-642-04962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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