{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894619,0.0001182962,0.0001835687,0.00008329297,0.0000340539,0.00004247136,0.001143841,0.00013724,0.00003774661],"category_scores_gemma":[0.00001339057,0.00006105084,0.00005686057,0.0001510564,0.00004486138,0.00001965991,0.00009268234,0.0000691115,0.0002179786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009077396,"about_ca_system_score_gemma":0.00005058338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337573,"about_ca_topic_score_gemma":0.00002077908,"domain_scores_codex":[0.9991376,0.00007592278,0.0001691207,0.0001851681,0.0002440788,0.000188108],"domain_scores_gemma":[0.9989685,0.0001852416,0.0001532323,0.0006339115,0.00002344389,0.00003564758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001384981,0.000005881694,0.000002220092,0.000006899124,0.00002364628,0.000003584793,0.00001350675,0.000003536313,0.000004947102,0.3009357,0.6769235,0.02207521],"study_design_scores_gemma":[0.0002015334,0.00006024023,0.00001282561,0.00004862435,0.000005526109,0.000007295558,0.00001292443,0.00104007,0.00001618887,0.01342146,0.9849979,0.0001754232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.324699e-8,0.001352983,0.3801761,0.00007754944,0.0003509738,0.0001500327,4.462271e-7,0.0000991635,0.6177927],"genre_scores_gemma":[0.0006428534,0.00008538805,0.01537702,0.0001506718,0.000125873,0.000009552116,2.847189e-7,0.00004660606,0.9835618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3657691,"threshold_uncertainty_score":0.2801746,"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."}}