{"id":"W99263416","doi":"10.1007/3-540-44967-1_72","title":"Generation of Fuzzy Membership Function Using Information Theory Measures and Genetic Algorithm","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy logic; Membership function; Computer science; Algorithm; Function (biology); Artificial intelligence; Mathematics; Fuzzy set","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":[0.0011586,0.0006558951,0.001133511,0.001456448,0.0006993845,0.0009862869,0.001252095,0.001192508,0.002326869],"category_scores_gemma":[0.003447596,0.0004545109,0.001101601,0.0009264541,0.0005101587,0.001062399,0.0008161351,0.0008849975,0.0004540879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000802597,"about_ca_system_score_gemma":0.0007288824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214779,"about_ca_topic_score_gemma":0.001644198,"domain_scores_codex":[0.9996655,0.00006822914,0.00002372109,0.00007850175,0.0001278092,0.00003627536],"domain_scores_gemma":[0.9991624,0.0003579561,0.00004372966,0.0001074912,0.0002987101,0.0000297092],"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":[0.0001614287,0.0001713298,0.0008016552,0.0001635794,0.00008995424,0.0001556252,0.0002673868,0.5830793,0.01704483,0.02848844,0.002387233,0.3671891],"study_design_scores_gemma":[0.00001350094,0.0000248081,0.0001181542,0.0000126123,0.00001583211,0.00002806264,0.00001327146,0.990675,0.002887326,0.005697932,0.0005041383,0.000009298522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02194454,0.0001131834,0.975126,0.00005258192,0.00004176502,0.00008721469,0.00003090578,0.0003848027,0.002218931],"genre_scores_gemma":[0.3097556,0.0000950722,0.6879397,0.00004241079,0.00002159613,0.0001963265,0.0001501994,0.000133364,0.001665704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002326869,"threshold_uncertainty_score":0.007784188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468484714571556,"score_gpt":0.2228198972246093,"score_spread":0.1881350500788938,"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."}}