{"id":"W2064327603","doi":"10.1016/j.fss.2014.02.011","title":"Fuzzy option prioritization for the graph model for conflict resolution","year":2014,"lang":"en","type":"article","venue":"Fuzzy Sets and Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Fuzzy logic; Preference; Mathematics; Truth value; Prioritization; Fuzzy number; Fuzzy set operations; Mathematical optimization; Fuzzy set; Computer science; Data mining; Artificial intelligence; Management science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002707974,0.001299257,0.0016109,0.001899169,0.0008131616,0.002752653,0.002268314,0.001932783,0.01018897],"category_scores_gemma":[0.005811074,0.0005626538,0.001586744,0.00240773,0.001322605,0.00386985,0.001440951,0.00225815,0.000925716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476049,"about_ca_system_score_gemma":0.001957624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009745418,"about_ca_topic_score_gemma":0.009835041,"domain_scores_codex":[0.9985134,0.000894253,0.00004439724,0.0001842763,0.000244774,0.0001189175],"domain_scores_gemma":[0.9980958,0.001454191,0.00009528383,0.00008127827,0.0001656626,0.0001078403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001001173,0.00006635661,0.0002091963,0.00009839368,0.00006409967,0.00009876965,0.00009830524,0.6891691,0.0005718069,0.2876648,0.001784962,0.02007402],"study_design_scores_gemma":[0.00001421906,0.00001280458,0.00003628932,0.000009079434,0.00001362645,0.0000145229,0.00001424362,0.8863595,0.0000752605,0.1128166,0.0006232068,0.00001067739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01289763,0.0002147397,0.9787244,0.0004215995,0.00004878405,0.00008399862,0.000202847,0.0001005436,0.007305325],"genre_scores_gemma":[0.5553772,0.0006213217,0.4296535,0.0002516989,0.0001020593,0.000416993,0.0005326119,0.0001409911,0.01290365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01018897,"threshold_uncertainty_score":0.03408551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2318001843312705,"score_gpt":0.4118356486449087,"score_spread":0.1800354643136383,"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."}}