{"id":"W1972932886","doi":"10.1016/j.dss.2012.05.050","title":"Dominance-based rough set approach for groups in multicriteria classification problems","year":2012,"lang":"en","type":"article","venue":"Decision Support Systems","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Decision rule; Decision maker; Veto; Group decision-making; Dominance-based rough set approach; Dominance (genetics); Computer science; Decision analysis; Rough set; Set (abstract data type); Preference; Decision support system; Artificial intelligence; Data mining; Decision tree; Machine learning; Operations research; Mathematics; Mathematical economics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002123013,0.0002265316,0.0003970181,0.0002222854,0.0001175226,0.0002691785,0.0007983384,0.0001766898,0.000008137044],"category_scores_gemma":[0.00008976677,0.0001788125,0.000110974,0.0004990314,0.00003010479,0.0008364159,0.00009933262,0.0001106032,0.00008082211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144802,"about_ca_system_score_gemma":0.0000663294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003708339,"about_ca_topic_score_gemma":0.000002530016,"domain_scores_codex":[0.9974682,0.0001234626,0.0007913867,0.0005688629,0.0004508274,0.0005972846],"domain_scores_gemma":[0.9982661,0.0002881976,0.0002651691,0.0008964654,0.0001202922,0.0001637736],"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":[0.0008689563,0.006730314,0.166054,0.00260632,0.0001195067,0.00006872816,0.02436831,0.02687509,0.006351222,0.1735046,0.1594386,0.4330144],"study_design_scores_gemma":[0.001952712,0.0001541699,0.01624308,0.00008852118,0.000007159184,0.0000382551,0.0002271805,0.9208952,0.00006571243,0.0005101641,0.05940285,0.0004150058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01346096,0.000282587,0.9814957,0.00009428743,0.001614426,0.001509523,0.00002739932,0.0001024256,0.001412653],"genre_scores_gemma":[0.8304915,0.000006503299,0.1683817,0.00009596072,0.0001793231,0.0006432716,0.00009950653,0.00001785067,0.00008433379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8940201,"threshold_uncertainty_score":0.7291763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09056001981553732,"score_gpt":0.3066961614931809,"score_spread":0.2161361416776435,"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."}}