{"id":"W1969535228","doi":"10.1016/j.ijar.2013.03.014","title":"Triangular fuzzy decision-theoretic rough sets","year":2013,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":188,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ranking (information retrieval); Mathematics; Range (aeronautics); Membership function; Fuzzy logic; Fuzzy number; Function (biology); Rough set; Weighted sum model; Mathematical optimization; Particle swarm optimization; Decision rule; Value (mathematics); Data mining; Artificial intelligence; Computer science; Fuzzy set; Decision analysis; Influence diagram; Statistics; Engineering","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":[0.0007048336,0.0001625538,0.000254398,0.0002468879,0.00007412764,0.0006497108,0.00192271,0.0000713426,0.0001411214],"category_scores_gemma":[0.0004704958,0.0001204891,0.0001981836,0.0002030156,0.00004950665,0.00125997,0.0002760885,0.0002506234,0.0001087012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030947,"about_ca_system_score_gemma":0.00008714497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001717467,"about_ca_topic_score_gemma":3.177177e-7,"domain_scores_codex":[0.997935,0.00006921378,0.0006157466,0.0002157923,0.0009008099,0.0002634635],"domain_scores_gemma":[0.997941,0.0002291344,0.0005233503,0.0002750367,0.0008749666,0.0001564945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009239422,0.0002614002,0.001309204,0.00001292246,0.0003188055,0.0005932053,0.001405247,0.001651004,0.0004239905,0.3275135,0.007273746,0.6591446],"study_design_scores_gemma":[0.003156243,0.0003582574,0.00699572,0.0006901882,0.00003440479,0.003260938,0.0002401143,0.2208581,0.001093918,0.7555805,0.007131456,0.0006001435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2202302,0.0008826816,0.7516673,0.003547259,0.004270638,0.0002471695,0.000003836186,0.00009258307,0.01905826],"genre_scores_gemma":[0.6540313,0.0001372605,0.3450975,0.0003232141,0.0003596436,0.000005047557,0.000001601106,0.00001237832,0.00003207454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6585444,"threshold_uncertainty_score":0.6265176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052932443075401,"score_gpt":0.2609551256978646,"score_spread":0.2504258012671106,"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."}}