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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2018: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications pp 391–403Cite as

Diverse Classes of Interval-Valued Aggregation Functions in Medical Diagnosis Support

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 855))

Abstract

In this contribution results connected with using new types of aggregation functions in medical diagnosis support are presented. These aggregation functions belong to the recently introduced families of possible and necessary aggregation functions as well as aggregation functions with respect to admissible linear orders. Examples of the mentioned families of aggregation functions proved to be comparably effective (if it comes to statistical measures and lower cost of prediction) to the previously used aggregation functions in medical diagnosis support systems. The considered classes of aggregation functions differ from the ones previously applied by the comparability relations between intervals involved in the monotonicity conditions.

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Acknowledgements

The authors would like to express gratitude to the OvaExpert authors for their valuable comments concerning the presented material.

This contribution was supported by the Centre for Innovation and Transfer of Natural Sciences and Engineering Knowledge of University of Rzeszów, Poland, the project RPPK.01.03.00-18-001/10.

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Authors and Affiliations

  1. Interdisciplinary Centre for Computational Modelling, University of Rzeszów, Pigonia 1, 35-310, Rzeszów, Poland

    Urszula Bentkowska & Barbara Pȩkala

Authors
  1. Urszula Bentkowska
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  2. Barbara Pȩkala
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Corresponding author

Correspondence to Barbara Pȩkala .

Editor information

Editors and Affiliations

  1. Universidad de Cádiz, Cádiz, Cadiz, Spain

    Jesús Medina

  2. Universidad de Málaga, Málaga, Málaga, Spain

    Manuel Ojeda-Aciego

  3. Universidad de Granada, Granada, Spain

    José Luis Verdegay

  4. Institute for Research and Applications, University of Ostrava, Ostrava, Czech Republic

    Irina Perfilieva

  5. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  6. Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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Bentkowska, U., Pȩkala, B. (2018). Diverse Classes of Interval-Valued Aggregation Functions in Medical Diagnosis Support. In: Medina, J., Ojeda-Aciego, M., Verdegay, J., Perfilieva, I., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Communications in Computer and Information Science, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-319-91479-4_33

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  • DOI: https://doi.org/10.1007/978-3-319-91479-4_33

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  • Online ISBN: 978-3-319-91479-4

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