{"id":"W1569004806","doi":"10.1002/9780470168967.ch4","title":"The Design of Fuzzy Sets","year":2007,"lang":"en","type":"other","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Membership function; Fuzzy classification; Fuzzy set; Fuzzy number; Defuzzification; Mathematics; Fuzzy set operations; Fuzzy logic; Type-2 fuzzy sets and systems; Pairwise comparison; Data mining; Fuzzy mathematics; Transformation (genetics); Set (abstract data type); Artificial intelligence; Computer science; Statistics","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":[0.004718913,0.0008575345,0.001254607,0.00150716,0.001347946,0.005030609,0.001838779,0.001639542,0.004990349],"category_scores_gemma":[0.009628181,0.0006880085,0.001385459,0.001506589,0.006185913,0.005166628,0.002420516,0.002779972,0.001061328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957872,"about_ca_system_score_gemma":0.001541203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360377,"about_ca_topic_score_gemma":0.0007942534,"domain_scores_codex":[0.9962409,0.001528051,0.0003214954,0.0006647355,0.001098256,0.0001466138],"domain_scores_gemma":[0.9977688,0.001235253,0.000127442,0.000377366,0.0004165485,0.00007474259],"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":[0.000008739229,0.000006175814,0.0000554807,0.0000832771,0.00001307431,0.00002327991,0.0002162397,0.004254191,0.0004321148,0.9788254,0.0006686106,0.01541332],"study_design_scores_gemma":[0.00001171823,0.0000207382,0.00003980248,0.00008047387,0.000008284872,0.00004643562,0.00006761796,0.01341971,0.0004376109,0.9611625,0.02469396,0.00001109253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002792727,0.003318805,0.9678315,0.001079261,0.0004039474,0.0001260422,0.00008727748,0.0001345968,0.02422589],"genre_scores_gemma":[0.1849905,0.004859911,0.7916828,0.0007012713,0.000536138,0.0006901094,0.0003010956,0.0001102314,0.01612789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005030609,"threshold_uncertainty_score":0.02495629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184573877933463,"score_gpt":0.2387251777731415,"score_spread":0.2168794389938069,"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."}}