{"id":"W1998402968","doi":"10.1016/j.isatra.2014.06.001","title":"A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation","year":2014,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Universiti Teknologi Petronas","keywords":"Control theory (sociology); Particle swarm optimization; Fuzzy logic; Defuzzification; Controller (irrigation); Servomotor; Type (biology); Computer science; Mathematics; Control engineering; Mathematical optimization; Fuzzy number; Algorithm; Fuzzy set; Engineering; Artificial intelligence; Control (management)","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":[0.0004445001,0.0005518287,0.0006248606,0.0004228133,0.00055354,0.0009052136,0.0007555215,0.000813817,0.001700954],"category_scores_gemma":[0.000814728,0.0003071668,0.0003816014,0.000283763,0.0003180575,0.0004509273,0.0003953808,0.000614909,0.0004272397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405725,"about_ca_system_score_gemma":0.001097962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919425,"about_ca_topic_score_gemma":0.004437212,"domain_scores_codex":[0.9997175,0.00003837777,0.00001550798,0.00006698676,0.0001349283,0.00002673343],"domain_scores_gemma":[0.9997823,0.00006509734,0.00002536033,0.00002431779,0.00009207473,0.00001082202],"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":[0.0004192317,0.0002365012,0.0006746829,0.0004196927,0.0001161431,0.0002389463,0.0002160164,0.3006496,0.1278837,0.04690935,0.004288732,0.5179473],"study_design_scores_gemma":[0.00005963637,0.0001643606,0.0002273371,0.00001776506,0.00004138268,0.0001045003,0.00001128575,0.9763651,0.01544958,0.004190512,0.003344061,0.00002445943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006179966,0.0001310688,0.9906862,0.0000554085,0.00005210322,0.00005335245,0.00001891868,0.0004680179,0.002354905],"genre_scores_gemma":[0.460393,0.000161545,0.5362078,0.0001124658,0.00004882115,0.0001835117,0.00005071206,0.00004718654,0.002795001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002919425,"threshold_uncertainty_score":0.005804896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554759536673433,"score_gpt":0.2418539210015409,"score_spread":0.2263063256348065,"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."}}