Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data | SpringerLink
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Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

In this article a dispersed decision-making system, that was proposed in the previous paper of one of the authors, is used. In the system four selected fusion methods were used. The aim of the paper is to compare the efficiency of inference of these methods for knowledge base from the medical field. Two medical data sets from the UC Irvine Machine Learning Repository were used. Note that these databases were used in a dispersed form, which means that one knowledge base was transformed into a set of knowledge bases. This application was intended to reflect a situation in which many medical centers independently collect knowledge from one field and then we want to use all of this knowledge at the same time in the process of inference.

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Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, Bȩdzińska 39, 41-200, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek & Agnieszka Nowak-Brzezińska

Authors
  1. Małgorzata Przybyła-Kasperek
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  2. Agnieszka Nowak-Brzezińska
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Corresponding author

Correspondence to Małgorzata Przybyła-Kasperek .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Manageme, Democritus University of Thrace Department of Forestry and Manageme, Orestiada Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology , Wrocław, Poland

    Bogdan Trawiński

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Przybyła-Kasperek, M., Nowak-Brzezińska, A. (2016). Intersection Method, Union Method, Product Rule and Weighted Average Method in a Dispersed Decision-Making System - a Comparative Study on Medical Data. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_43

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45245-6

  • Online ISBN: 978-3-319-45246-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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