Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Improving medical decisions under incomplete data using interval–valued fuzzy aggregation

Authors
Patryk Zywica, Andrzej Wójtowicz, Anna Stachowiak, Krzysztof Dyczkowski
Corresponding Author
Patryk Zywica
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.83How to use a DOI?
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Patryk Zywica
AU  - Andrzej Wójtowicz
AU  - Anna Stachowiak
AU  - Krzysztof Dyczkowski
PY  - 2015/06
DA  - 2015/06
TI  - Improving medical decisions under incomplete data using interval–valued fuzzy aggregation
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 577
EP  - 584
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.83
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.83
ID  - Zywica2015/06
ER  -