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A Brief Survey on Fuzzy Cognitive Maps Research

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Advanced Intelligent Computing Theories and Applications (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

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Abstract

The Fuzzy Cognitive Map (FCM) has emerged as a convenient and powerful soft modeling tool since its proposal. During the last nearly 30 years, Fuzzy Cognitive Maps have gained considerable research interests and have been applied to many areas. The advantageous modeling characteristics of FCMs encourage us to investigate the FCM structure, attempting to broaden the FCM functionality and applicability in real world. In this paper, the main representation and inference characteristics of conventional Fuzzy Cognitive Maps are investigated, and also the current state of the extensions of FCMs, learning algorithms for FCMs is introduced and summarized briefly.

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Acknowledgment

This work is partially supported by the Scientific Research Project of Education Department of Shanxi Province (No. 2013JK0578).

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Authors and Affiliations

  1. School of Mathematics and Information Science, Xianyang Normal University, Xianyang, China

    Yajie Wang & Weiyuan Zhang

Authors
  1. Yajie Wang
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  2. Weiyuan Zhang
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Corresponding author

Correspondence to Yajie Wang .

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Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

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Wang, Y., Zhang, W. (2015). A Brief Survey on Fuzzy Cognitive Maps Research. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-22053-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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