{"id":"W2105575066","doi":"10.1109/icsmc.2007.4413991","title":"Evolutionary fuzzy system models with improved fuzzy functions and its application to industrial process","year":2007,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neuro-fuzzy; Fuzzy set operations; Defuzzification; Fuzzy logic; Fuzzy classification; Computer science; Fuzzy number; Data mining; Fuzzy rule; Robustness (evolution); Adaptive neuro fuzzy inference system; Fuzzy control system; Fuzzy clustering; Fuzzy associative matrix; Fuzzy set; Membership function; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449875,0.0001573861,0.0001839684,0.0001226982,0.0002117582,0.00008270182,0.0003598354,0.0001212306,4.52515e-7],"category_scores_gemma":[0.00001008423,0.0001164589,0.00002471763,0.0005846014,0.00001694491,0.0005586348,0.00008809177,0.0001163776,0.00003756903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039608,"about_ca_system_score_gemma":0.0001152834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124012,"about_ca_topic_score_gemma":0.00004926696,"domain_scores_codex":[0.9985746,0.00003100593,0.0002810092,0.0005026351,0.0002917846,0.0003190334],"domain_scores_gemma":[0.9990637,0.00004935691,0.00009235959,0.0003391849,0.0002362918,0.0002191439],"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":[0.0002517895,0.0001102803,0.0005754472,0.00008897671,0.00005831848,0.000007726513,0.0005388762,0.005582834,0.002225866,0.9660137,0.0007156483,0.02383056],"study_design_scores_gemma":[0.005095566,0.001376875,0.003106593,0.0001819236,0.0000703801,0.0003941655,0.003655476,0.9666945,0.0006221217,0.01613116,0.00135212,0.001319121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01868464,0.0001464135,0.892249,0.0004975822,0.0002347203,0.001226529,0.000004162236,0.0004318144,0.0865251],"genre_scores_gemma":[0.9965963,5.782896e-7,0.00189497,0.0001206368,0.000270967,0.0002228075,0.000003111892,0.000008638131,0.0008820008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9779117,"threshold_uncertainty_score":0.4749055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830129464739075,"score_gpt":0.2193491673470111,"score_spread":0.2010478726996203,"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."}}