{"id":"W3200986883","doi":"10.4018/978-1-7998-6878-1.ch013","title":"Fuzzy Logic Theory and Applications in Uncertainty Management of Linguistic Evaluations for Students","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fuzzy logic; Artificial intelligence; Computer science; Fuzzy set operations; Linguistics; Fuzzy set; Fuzzy classification; Fuzzy cognitive map; Type-2 fuzzy sets and systems; Fuzzy number; Mathematics; Natural language processing","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":[0.001594844,0.0002953488,0.0005040083,0.0008268527,0.0001983358,0.000114732,0.0006217242,0.0002348623,0.0001185386],"category_scores_gemma":[0.002014343,0.0002599951,0.00007285373,0.0002801562,0.0008913885,0.0005290327,0.00037892,0.0002275562,0.000002460635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441652,"about_ca_system_score_gemma":0.0001902665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000167659,"about_ca_topic_score_gemma":0.00002396046,"domain_scores_codex":[0.9969766,0.00007909375,0.001057056,0.0008101646,0.0008874673,0.0001896403],"domain_scores_gemma":[0.9949086,0.003442132,0.0005201924,0.0004738732,0.0006237876,0.00003140677],"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":[0.00008585866,0.00004300658,0.000364406,0.00006684651,0.00002726336,0.000001241322,0.00007338944,0.0006483553,0.000007504941,0.8743255,0.00003811738,0.1243185],"study_design_scores_gemma":[0.0002956111,0.00005467456,0.002330972,0.0003015224,0.00002545943,0.00001858983,0.002856846,0.00003617134,0.00001604596,0.8993748,0.09447408,0.0002152551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01006905,0.5152118,0.2091454,0.007087788,0.006510285,0.01986458,0.002204076,0.0005822161,0.2293248],"genre_scores_gemma":[0.05270923,0.1422862,0.6341113,0.0002630779,0.0004028429,0.004729486,0.0004397871,0.0001364138,0.1649216],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4249659,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09528023391499378,"score_gpt":0.4466260779755547,"score_spread":0.3513458440605609,"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."}}