CC-separation Measure Applied in Business Group Decision Making

Jonata Wieczynski, Giancarlo Lucca, Giancarlo Lucca, Eduardo Borges, Graçaliz Dimuro, Graçaliz Dimuro, Rodolfo Lourenzutti, Humberto Bustince

2021

Abstract

In business, one of the most important management functions is decision making. The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous data types. This method uses the Choquet integral to deal with the interaction between different criteria. The Choquet integral has been generalized and applied in various fields of study, such as imaging processing, brain-computer interface, and classification problems. By generalizing the so-called extended Choquet integral by copulas, the concept of CC-integrals has been introduced, presenting satisfactory results when used to aggregate the information in Fuzzy Rule-Based Classification Systems. Taking this into consideration, in this paper, we applied 11 different CC-integrals in the GMC-RTOPSIS. The results demonstrated that this approach has the advantage of allowing more flexibility and certainty in the choosing process by giving a higher separation between the first and second-ranked alternatives.

Paper Citation

in Harvard Style

Wieczynski J., Lucca G., Borges E., Dimuro G., Lourenzutti R. and Bustince H. (2021). CC-separation Measure Applied in Business Group Decision Making. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 452-462. DOI: 10.5220/0010439304520462

in Bibtex Style

@conference{iceis21,
author={Jonata Wieczynski and Giancarlo Lucca and Eduardo Borges and Graçaliz Dimuro and Rodolfo Lourenzutti and Humberto Bustince},
title={CC-separation Measure Applied in Business Group Decision Making},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={452-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010439304520462},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - CC-separation Measure Applied in Business Group Decision Making
SN - 978-989-758-509-8
AU - Wieczynski J.
AU - Lucca G.
AU - Borges E.
AU - Dimuro G.
AU - Lourenzutti R.
AU - Bustince H.
PY - 2021
SP - 452
EP - 462
DO - 10.5220/0010439304520462