Multi-Criteria Decision-Making-Based Model Selection Proposal in Artificial Learning Process
Fatma Önay Koçoğlu ()
Additional contact information
Fatma Önay Koçoğlu: Software Engineering Department, Muğla SıtkıKoçman University, Kötekli, Muğla 48000, Turkey
International Journal of Information Technology & Decision Making (IJITDM), 2022, vol. 21, issue 05, 1467-1486
Abstract:
In this study, selection of the best classification model in the artificial learning process is considered as a Multi-Criteria Decision-Making problem. In this direction, machine learning- based 10 classification models have been obtained and seven of them have been eliminated according to the different parameters. The classification model with the best performance among three remaining alternatives has been determined by ELECTRE I. According to the model performances obtained within the scope of the study, the best model among the three alternatives would be determined depending on the initiative of the researcher. However, with the proposed model, this process has been moved to a scientific basis and the best of the three models based on Extreme Learning Machine (ELM), Naïve Bayes, and Support Vector Machine has been clearly determined as ELM. The proposed model, unlike its counterparts in the literature, is far from a complex structure, is understandable and can support users of all levels.
Keywords: Artificial learning; data mining; ELECTRE; machine learning; multi-criteria decision-making (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622022500304
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:21:y:2022:i:05:n:s0219622022500304
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219622022500304
Access Statistics for this article
International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi
More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().