{"id":"W2101820616","doi":"10.1109/fuzzy.1993.327552","title":"Constraints on membership functions of rules in fuzzy expert systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Computer science; Inference; Fuzzy logic; Rule of inference; Expert system; Fuzzy inference; Artificial intelligence; Fuzzy set; Data mining; Fuzzy control system; Mathematics; Theoretical computer science; Adaptive neuro fuzzy inference 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01509238,0.001329126,0.001321932,0.002000473,0.001773806,0.005763603,0.002498793,0.00274716,0.003819997],"category_scores_gemma":[0.0668545,0.001313128,0.001383255,0.001631287,0.005536619,0.01165265,0.003245296,0.00369485,0.001284995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305066,"about_ca_system_score_gemma":0.001635523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525654,"about_ca_topic_score_gemma":0.00185483,"domain_scores_codex":[0.9757603,0.01183371,0.002093127,0.002390565,0.006886911,0.00103539],"domain_scores_gemma":[0.9558915,0.03477446,0.001545509,0.003575485,0.003734042,0.0004788623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002299816,0.00005991077,0.0004799162,0.0002697681,0.00007537886,0.0003701999,0.001399524,0.1233928,0.005269662,0.7987346,0.001060676,0.06865766],"study_design_scores_gemma":[0.00003830882,0.00006073102,0.0001759466,0.0001273329,0.00002880181,0.0001231711,0.0001880171,0.3132803,0.006470858,0.6748746,0.004586766,0.00004510909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01273653,0.0003966923,0.9798441,0.0002840823,0.00003287109,0.00006172488,0.00006116906,0.0001907884,0.006391956],"genre_scores_gemma":[0.4553394,0.0008630585,0.5392813,0.00021252,0.0001968602,0.0004427253,0.0002698099,0.0002010558,0.003193113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01509238,"threshold_uncertainty_score":0.07981712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04254949559603174,"score_gpt":0.2271670288514199,"score_spread":0.1846175332553882,"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."}}