Intelligent characteristic objects method (INCOME): a data knowledge-based multi-criteria decision analysis
Bartłomiej Kizielewicz,
Andrii Shekhovtsov,
Jakub Więckowski
et al.
Abstract:Multi-criteria decision analysis (MCDA) methods are vital in assessing decision variants under multiple conditions. However, involving domain experts in developing decision models can be challenging and costly, necessitating more scalable and independent solutions. This paper introduces the intelligent characteristic objects method (INCOME), which combines the k-Nearest Neighbor (kNN) algorithm and the COMET method to create a theoretical decision-maker for comparing characteristic objects (COs). INCOME overco… Show more
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