title:
 
Improving medical decisions under incomplete data using interval–valued fuzzy aggregation
publication:
 
eusflat-15
ISBN:
  978-94-62520-77-6
ISSN:
  1951-6851
DOI:
  doi:10.2991/ifsa-eusflat-15.2015.83 (how to use a DOI)
author(s):
 
Patryk Zywica, Andrzej Wójtowicz, Anna Stachowiak, Krzysztof Dyczkowski
corresponding author:
 
Patryk Zywica
publication date:
 
June 2015
keywords:
 
Missing data, incomplete information, decision-making, uncertainty, aggregation, intervalvalued fuzzy sets, supporting medical diagnosis
abstract:
 
We state a problem concerning how to make an effective and proper decision in the presence of data incompleteness. As an example we consider a medical diagnostic system where the problem of missing data is commonly encountered. We propose and evaluate an approach that makes it possible to reduce the influence of missing data on the final result and to improve the quality of the decision. The process involves interval-valued fuzzy set modelling, uncertaintification of classical methods, and finally aggregation of the incomplete results. It was verified that the aggregation results in meaningful and accurate decisions despite the missing data.
copyright:
 
© The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
full text: