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The Hybrid Method of Inference System Based on Experts’ Rules and Machine Learning with an Uncertainty Aspect

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1176))

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Abstract

Rule-based approximate reasoning systems are an important decision-making tool in many application problems. The use of expert knowledge or machine learning techniques to create rules does not exhaust the problems of representing data and decision dependencies, therefore we propose a hybrid/mixed technique for creating a set of rules while effectively modeling uncertainty through interval-valued fuzzy representation in the problem of detecting falls of elderly people. The obtained prediction confirms the correctness of the choice of diagnostic methodology.

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Author information

Authors and Affiliations

  1. University of Rzeszów, Rzeszów, Poland

    Dorota Gil & Barbara Pękala

  2. University of Information Technology and Management, Rzeszów, Poland

    Barbara Pękala

Authors
  1. Dorota Gil
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  2. Barbara Pękala
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Corresponding author

Correspondence to Barbara Pękala .

Editor information

Editors and Affiliations

  1. LIP6, BC169, Sorbonne Université, PARIS, France

    Marie-Jeanne Lesot

  2. IDMEC,Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal

    Susana Vieira

  3. Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Marek Z. Reformat

  4. INESC-ID,Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal

    João Paulo Carvalho

  5. INESC-ID, Av. das Forças Armadas, 1649-026, ISCTE - University Institute of Lisbon, Lisboa, Portugal

    Fernando Batista

  6. LIP6, BC169, Place Jussieu 4, 75005, Sorbonne University, Paris, France

    Bernadette Bouchon-Meunier

  7. Machine Intelligence Institute, Iona Collage, NEW ROCHELLE, NY, USA

    Ronald R. Yager

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Gil, D., Pękala, B. (2025). The Hybrid Method of Inference System Based on Experts’ Rules and Machine Learning with an Uncertainty Aspect. In: Lesot, MJ., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2024. Lecture Notes in Networks and Systems, vol 1176. Springer, Cham. https://doi.org/10.1007/978-3-031-73997-2_25

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