{"id":"W4401649637","doi":"10.1016/j.eswa.2024.125120","title":"Logic-oriented fuzzy neural networks: A survey","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fuzzy logic; Artificial neural network; Artificial intelligence; Neuro-fuzzy; Machine learning; Fuzzy control system","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":[0.0002612501,0.0002289849,0.0002109873,0.00009368663,0.0003296061,0.0005513309,0.0007958217,0.00007776502,0.00000554807],"category_scores_gemma":[0.000004864801,0.000167533,0.00006044889,0.001761899,0.00006859313,0.0003451288,0.0001308015,0.000206643,0.0001256078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000052796,"about_ca_system_score_gemma":0.00005220523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003061779,"about_ca_topic_score_gemma":0.00005521713,"domain_scores_codex":[0.9981655,0.0001049989,0.0003373907,0.0007412779,0.0002608927,0.000389962],"domain_scores_gemma":[0.9982651,0.00027024,0.00007724899,0.001060893,0.0001389749,0.0001874962],"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":[0.000006756445,0.0001099709,0.0003850118,0.00003037917,0.00005906496,0.00001521926,0.0002482435,0.02036755,0.0001368485,0.9254638,0.03988798,0.01328921],"study_design_scores_gemma":[0.0001113254,0.00004572557,0.0006203519,0.00004566518,0.000005502326,0.00009467403,0.00003615315,0.7678947,0.00001171637,0.0003964969,0.230445,0.000292677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002165911,0.005968555,0.9881455,0.001458292,0.0004248758,0.001143132,0.00001729149,0.001004288,0.001621415],"genre_scores_gemma":[0.9868628,0.00009651948,0.006100996,0.000421063,0.0006795498,0.004821504,0.00008583481,0.00003588737,0.0008958462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9866462,"threshold_uncertainty_score":0.6831796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237162754913257,"score_gpt":0.2724644143570859,"score_spread":0.2500927868079533,"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."}}