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Impact and Applications of Fuzzy Cognitive Map Methodologies

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Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 835))

Abstract

Since their introduction in 1986, Fuzzy Cognitive Maps (FCMs) have been comprehensively studied, applied, and extended with growing interest and are still expanding in use. This chapter discusses the impact of Fuzzy Cognitive Maps as a knowledge acquisition, knowledge reasoning and modeling methodology, on its own, and in synergy with other soft computing, computational intelligence and knowledge-based methodologies. It discusses the general structure and development of FCMs and their topologies as well as extensions to fill specific problem needs. The extensive application areas are also presented along with future research directions.

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Acknowledgements

This research work is funded by the Operational Programme “Epirus” 2014-2020, under the project “Integrated Support System for elderly people with health problems and lonely workers using Portable Devices and Machine learning Algorithms – TrackMyHealth”, Co-financed by the European Regional Development Fund (ERDF).

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Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Ioannina, Arta, Greece

    Chrysostomos D. Stylios & Evaggelia Bourgani

  2. School of Health Rehabilitation Sciences, University of Patras, Patras, Greece

    Voula C. Georgopoulos

Authors
  1. Chrysostomos D. Stylios
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  2. Evaggelia Bourgani
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  3. Voula C. Georgopoulos
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Corresponding author

Correspondence to Chrysostomos D. Stylios .

Editor information

Editors and Affiliations

  1. Department of Teacher Education, University of Texas at El Paso, El Paso, TX, USA

    Olga Kosheleva

  2. Institute of Computational Technologies SB RAS, Novosibirsk, Russia

    Sergey P. Shary

  3. Johns Creek, GA, USA

    Gang Xiang

  4. Deptartment of Informatics, The State Russian Museum, Saint Petersburg, Russia

    Roman Zapatrin

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Stylios, C.D., Bourgani, E., Georgopoulos, V.C. (2020). Impact and Applications of Fuzzy Cognitive Map Methodologies. In: Kosheleva, O., Shary, S., Xiang, G., Zapatrin, R. (eds) Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications. Studies in Computational Intelligence, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-030-31041-7_13

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