{"id":"W7038002891","doi":"","title":"A fuzzy inference system approach for supplier evaluation.","year":2006,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Regina","keywords":"Fuzzy logic; Fuzzy control system; Fuzzy inference system; Adaptive neuro fuzzy inference system; Fuzzy inference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003245124,0.0006096364,0.0007882662,0.002441352,0.000866657,0.002067954,0.0016937,0.001301259,0.01037582],"category_scores_gemma":[0.007713021,0.0003454463,0.0008552611,0.001720052,0.0006610098,0.002224686,0.0007762712,0.001137875,0.001517477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208866,"about_ca_system_score_gemma":0.001599826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013405,"about_ca_topic_score_gemma":0.0158836,"domain_scores_codex":[0.9978185,0.0009304286,0.0001380248,0.0002534548,0.0007427376,0.0001169132],"domain_scores_gemma":[0.9982298,0.001041666,0.00006623099,0.0001100811,0.0005011089,0.00005111612],"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":[0.0004294968,0.0003161274,0.003427784,0.0005501844,0.0004567167,0.0004785364,0.0006657895,0.2060155,0.005202684,0.2352686,0.01949912,0.5276895],"study_design_scores_gemma":[0.00004381335,0.00008544494,0.001286838,0.0001064371,0.0001253149,0.0001270701,0.0002652443,0.8675717,0.002577371,0.1193067,0.00847055,0.00003353269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01389998,0.001716356,0.9582043,0.0006186961,0.0001446628,0.0002181427,0.0004055204,0.0003702333,0.02442218],"genre_scores_gemma":[0.4223249,0.0007406261,0.5640121,0.0001503496,0.0001345028,0.0002703012,0.0004838402,0.00004680285,0.01183652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.013405,"threshold_uncertainty_score":0.03471059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07475813529328913,"score_gpt":0.325922750638872,"score_spread":0.2511646153455829,"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."}}