{"id":"W2114183327","doi":"10.1109/tase.2011.2181364","title":"Modular Supervisory Control and Hierarchical Supervisory Control of Fuzzy Discrete-Event Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Supervisory control; Supervisor; Supervisory control theory; Observability; Modular design; Consistency (knowledge bases); Event (particle physics); Control theory (sociology); Fuzzy logic; Control engineering; Property (philosophy); Hierarchical control system; Fuzzy control system; Controller (irrigation); Mathematics; Control (management); Computer science; Engineering; Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479495,0.0001677199,0.0002626477,0.0004725819,0.0002202431,0.0001550608,0.0003573976,0.00006966004,0.000001268622],"category_scores_gemma":[0.0000301346,0.0001543545,0.00004599499,0.000623018,0.0001309937,0.00164413,0.000006247578,0.000163094,0.000003636627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006358987,"about_ca_system_score_gemma":0.00006392413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002003849,"about_ca_topic_score_gemma":5.371383e-7,"domain_scores_codex":[0.9981876,0.00005805184,0.0003925111,0.0003203865,0.000645974,0.0003954869],"domain_scores_gemma":[0.9990416,0.0001791836,0.0000629585,0.0003545965,0.0001262195,0.0002354125],"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":[0.000008871485,0.00007409495,0.0001670957,0.0001781108,0.00003444914,0.000001323085,0.001977952,0.8524646,0.1237532,0.007590799,0.000002622936,0.01374681],"study_design_scores_gemma":[0.0005153502,0.00004502901,0.002739842,0.00008978193,0.00001357844,0.00004126145,0.00007546561,0.9943229,0.001913458,0.00001351464,0.00006544699,0.000164373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2155159,0.000435775,0.7828487,0.0001088777,0.0006961215,0.0002033102,0.000008404438,0.0001475793,0.00003529949],"genre_scores_gemma":[0.9961804,0.00003384359,0.003637057,0.00004317953,0.00004184424,0.00004485638,1.953551e-7,0.00001018162,0.000008433134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7806645,"threshold_uncertainty_score":0.6294393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972267456587201,"score_gpt":0.2292920488318965,"score_spread":0.2095693742660245,"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."}}