A New Method for Attributes Selection in Intuitionistic Fuzzy Models

DOI

10.2991/eusflat-19.2019.57How to use a DOI?

Keywords

Atanassov's intuitionistic fuzzy sets Three term representation of A-IFSs Selection of attributes

Abstract

We present a new method for attribute selection for models with attribute values expressed via Atanassov's intuitionistic fuzzy sets (IFSs, for short). The three term representation of the IFSs makes it possible to construct a transparent and justified function that enables to select attributes for broadly understood decision making, e.g., for classification. We demonstrate the proposed method using a well known, simple and illustrative example from the literature, and then we show the results for the SPECT Heart data, a real medical preprocessed data. The data set is quite complicated and difficult to analyze. The results obtained are compared with other methods, and found to be promising.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Eulalia Szmidt
AU  - Janusz Kacprzyk
AU  - Paweł Bujnowski
PY  - 2019/08
DA  - 2019/08
TI  - A New Method for Attributes Selection  in  Intuitionistic Fuzzy Models
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 408
EP  - 415
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.57
DO  - 10.2991/eusflat-19.2019.57
ID  - Szmidt2019/08
ER  -