{"id":"W4255575919","doi":"10.4018/978-1-4666-6070-0.ch010","title":"Recent Advancement in Fuzzy System","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in public policy and administration (APPA) book series","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fuzzy logic; Process (computing); Management science; Action (physics); Computer science; Field (mathematics); Decision process; Decision-making; Operations research; Artificial intelligence; Engineering; Mathematics; Operations management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003036757,0.000747479,0.001227741,0.001851027,0.0002607192,0.0009249729,0.0009968188,0.0004717586,0.0005617196],"category_scores_gemma":[0.002881346,0.0006675568,0.0001473353,0.0004886297,0.000524989,0.005216255,0.0003681995,0.0005462508,0.0001578861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942178,"about_ca_system_score_gemma":0.0009093935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001303719,"about_ca_topic_score_gemma":0.001353542,"domain_scores_codex":[0.9927819,0.0002920276,0.002737619,0.001515769,0.001938272,0.000734459],"domain_scores_gemma":[0.9953664,0.00127467,0.001355899,0.001203035,0.0004454302,0.0003545846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001381016,0.00002497056,0.00008588044,0.00006817761,0.000008444877,0.00004379495,0.0001468363,0.00003047164,0.000008136865,0.8017396,0.0002976113,0.197408],"study_design_scores_gemma":[0.0006534071,0.0002281726,0.0001545929,0.000482172,0.000007165165,0.00009109599,0.0004270271,0.0001004761,0.00002991763,0.07972667,0.9175134,0.0005859217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002362289,0.01530606,0.001546667,0.007548706,0.001327349,0.001086029,0.0001999394,0.0001440013,0.972605],"genre_scores_gemma":[0.2432582,0.1276244,0.004530405,0.003300049,0.002104257,0.000421683,0.0002376589,0.0002186224,0.6183047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9172158,"threshold_uncertainty_score":0.9995776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09434975117102448,"score_gpt":0.3941612626304994,"score_spread":0.2998115114594749,"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."}}