{"id":"W2150670954","doi":"10.1109/icsmc.1995.538151","title":"Continuous defuzzification of fuzzy logic controller in electric vehicle induction motor drives","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Induction motor; Control theory (sociology); Fuzzy logic; Defuzzification; Fuzzy control system; Steady state (chemistry); Controller (irrigation); Control engineering; Computer science; State (computer science); Control (management); Engineering; Fuzzy set; Voltage; Artificial intelligence; Fuzzy number; Algorithm; Electrical engineering","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":[0.0002670532,0.000112465,0.0002735288,0.0001952546,0.00004043341,0.00004362411,0.0004097286,0.00009454253,0.0000140634],"category_scores_gemma":[0.00006216002,0.00009025516,0.00006595353,0.0005783712,0.00002517447,0.0003128089,0.00003437131,0.0001021236,0.00008321718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000480599,"about_ca_system_score_gemma":0.00001226959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238555,"about_ca_topic_score_gemma":0.00001169322,"domain_scores_codex":[0.9987282,0.0001240409,0.000391389,0.00030127,0.0002133315,0.0002417793],"domain_scores_gemma":[0.9993188,0.00008115196,0.0001636203,0.0002930865,0.00009630946,0.00004700353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004451785,0.0005376615,0.008828336,0.0000229567,0.00003795944,0.000008793695,0.0008303318,0.0001999858,0.2826956,0.5600588,0.0009043969,0.1458307],"study_design_scores_gemma":[0.01012606,0.001770134,0.2700784,0.00006615266,0.00003129801,0.00006097154,0.0004912626,0.5808945,0.009336179,0.1247116,0.001360301,0.001073089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7603084,0.00336397,0.06524518,0.002946998,0.0006448721,0.00149813,0.000001581128,0.0004146923,0.1655761],"genre_scores_gemma":[0.9977841,0.00004060226,0.0009102923,0.0001611864,0.00005250622,0.00004735747,3.850389e-7,0.00000451272,0.0009990778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5806946,"threshold_uncertainty_score":0.3680499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785144971406149,"score_gpt":0.206986850467447,"score_spread":0.1891354007533855,"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."}}