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An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data

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Book cover Theory and Practice of Natural Computing (TPNC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11934))

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Abstract

The paper concerns the use of evolutionary algorithms to solve the problem of multiobjective optimization and learning of fuzzy cognitive maps (FCMs) on the basis of multidimensional medical data related to diabetes. The aim of this research study is an automatic construction of a collection of FCM models based on various criteria depending on the structure of the model and forecasting capabilities. The simulation analysis was performed with the use of the developed multiobjective Individually Directional Evolutionary Algorithm. Experiments show that the collection of fuzzy cognitive maps, in which each element is built on the basis of particular patient data, allows us to receive higher forecasting accuracy compared to the standard approach. Moreover, by appropriate aggregation of these collections we can also obtain satisfactory accuracy of forecasts for the new patient.

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Authors and Affiliations

  1. Kielce University of Technology, Kielce, Poland

    Alexander Yastrebov, Łukasz Kubuś & Katarzyna Poczeta

Authors
  1. Alexander Yastrebov
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  2. Łukasz Kubuś
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  3. Katarzyna Poczeta
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Corresponding author

Correspondence to Katarzyna Poczeta .

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Editors and Affiliations

  1. Rovira i Virgili University, Tarragona, Spain

    Carlos Martín-Vide

  2. Royal Military College of Canada, Kingston, ON, Canada

    Geoffrey Pond

  3. University of Extremadura, Cáceres, Spain

    Miguel A. Vega-Rodríguez

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Yastrebov, A., Kubuś, Ł., Poczeta, K. (2019). An Analysis of Evolutionary Algorithms for Multiobjective Optimization of Structure and Learning of Fuzzy Cognitive Maps Based on Multidimensional Medical Data. In: Martín-Vide, C., Pond, G., Vega-Rodríguez, M. (eds) Theory and Practice of Natural Computing. TPNC 2019. Lecture Notes in Computer Science(), vol 11934. Springer, Cham. https://doi.org/10.1007/978-3-030-34500-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-34500-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34499-3

  • Online ISBN: 978-3-030-34500-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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