The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
EVALUATION OF CLASSIFICATION ALGORITHMS USING MCDM AND RANK CORRELATION
Abstract
Classification algorithm selection is an important issue in many disciplines. Since it normally involves more than one criterion, the task of algorithm selection can be modeled as multiple criteria decision making (MCDM) problems. Different MCDM methods evaluate classifiers from different aspects and thus they may produce divergent rankings of classifiers. The goal of this paper is to propose an approach to resolve disagreements among MCDM methods based on Spearman's rank correlation coefficient. Five MCDM methods are examined using 17 classification algorithms and 10 performance criteria over 11 public-domain binary classification datasets in the experimental study. The rankings of classifiers are quite different at first. After applying the proposed approach, the differences among MCDM rankings are largely reduced. The experimental results prove that the proposed approach can resolve conflicting MCDM rankings and reach an agreement among different MCDM methods.
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Cited by
STATE OF ART SURVEYS OF OVERVIEWS ON MCDM/MADM METHODS
Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014) · Technological and Economic Development of Economy · doi:10.3846/20294913.2014.892037 · Cited by 931
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. (2016) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622016300019 · Cited by 485
Integrated Determination of Objective Criteria Weights in MCDM
Zavadskas, E. K., & Podvezko, V. (2016) · International Journal of Information Technology & Decision Making · doi:10.1142/s0219622016500036 · Cited by 365
Kou, G., Yang, P., Peng, Y., Xiao, F., Chen, Y., & Alsaadi, F. E. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105836 · Cited by 357
Self-citationA cosine maximization method for the priority vector derivation in AHP
Kou, G., & Lin, C. (2014) · European Journal of Operational Research · doi:10.1016/j.ejor.2013.10.019 · Cited by 347
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Metadata
- Authors
- KOU, G., LU, Y., PENG, Y., & SHI, Y.
- Venue
- International Journal of Information Technology & Decision Making
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2012-01
- Volume
- 11
- Issue
- 01
- Pages
- 197-225
- ISSN
- 0219-6220 (ISSN-L)
- 1793-6845
- OpenAlex
- W2024428474
- Cited by
- 566
- References
- 39
- FWCI
- 40.99
- Type
- journal article
- Language
- en
- Open access
- closed
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