{"id":"W4412651030","doi":"10.1016/j.ijar.2025.109528","title":"Explainable multi-criteria decision-making: A three-way decision perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Computer science; Management science; Decision analysis; Artificial intelligence; Mathematics; Engineering; Mathematical economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008867108,0.0001909294,0.0003009566,0.0005651353,0.0001609744,0.0006812881,0.002013311,0.00008366255,0.00003700623],"category_scores_gemma":[0.001086694,0.0001510982,0.0002131931,0.0004101771,0.00004634578,0.001018299,0.0005607409,0.0002988444,0.00001207084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004125887,"about_ca_system_score_gemma":0.0001910546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002209924,"about_ca_topic_score_gemma":0.00000871192,"domain_scores_codex":[0.9979696,0.00004999877,0.0006171797,0.0003310938,0.0007548844,0.0002772686],"domain_scores_gemma":[0.9973776,0.0005030395,0.0004425954,0.0003028126,0.001289472,0.00008444509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005763063,0.000550387,0.002830062,0.00001482354,0.0004367888,0.001077558,0.002284356,0.002280083,0.0003958913,0.4256193,0.002447539,0.5614869],"study_design_scores_gemma":[0.002686866,0.0002026429,0.01112509,0.002906349,0.00003280831,0.001028953,0.001163462,0.6026641,0.0004139421,0.3732937,0.004076349,0.0004058154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03000474,0.0008527647,0.9598547,0.0008655845,0.002268432,0.0001017172,0.000002856747,0.00004405243,0.006005195],"genre_scores_gemma":[0.5224941,0.00006749301,0.4771096,0.0001751894,0.0001220593,0.000003060349,3.963839e-7,0.000007019059,0.00002111257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6003839,"threshold_uncertainty_score":0.6569676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647024328912482,"score_gpt":0.3322544713001384,"score_spread":0.3157842280110136,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}