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Dominance based monte carlo algorithm for preference learning in the multi-criteria sorting problem: Theoretical properties

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Academic year: 2021

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Figure 3 : Variation of the quality plots with the size of the learning set – number of learning items= 20, 30, 40, 50
Figure 4 : Variation of the quality plots with the correlation degree – cor. coef= 0.2, 0.4, 0.6, 0.8
Figure 1. Performance of the KG, OCBA-m and PBR (t-bound) against random allocation for k = {1, 2, .., 10} in Scenario 1
Figure 4. Performance in Scenario 2 of the KG and OCBA-m policies against the PBR (t-bound) and random allocation for k = {1, 2, .., 10} (adjacent to lowest data point)
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