{"id":"W3048603571","doi":"10.1007/978-3-030-52800-3_4","title":"Fuzzy Relations and Relational Computing","year":2020,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Fuzzy classification; Fuzzy set operations; Interpretation (philosophy); Mathematics; Computer science; Artificial intelligence; Type-2 fuzzy sets and systems; Fuzzy number; Fuzzy set; Theoretical computer science; Data mining; Algebra over a field; Pure mathematics","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":[0.0004786101,0.0006678849,0.000717381,0.001443511,0.001110631,0.003878759,0.0008692002,0.0007493583,0.02313457],"category_scores_gemma":[0.001579807,0.000364883,0.0004277122,0.003107829,0.002446546,0.005463602,0.0008769238,0.001726273,0.00584967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357359,"about_ca_system_score_gemma":0.0007767621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660944,"about_ca_topic_score_gemma":0.002909661,"domain_scores_codex":[0.9995838,0.00008736393,0.00002118383,0.00006218951,0.0002184862,0.00002697585],"domain_scores_gemma":[0.9996935,0.000169526,0.00001351429,0.00005452813,0.00005394685,0.00001499807],"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":[0.000003580901,0.000006271504,0.00002325735,0.00008544271,0.000004006993,0.0000214605,0.000251543,0.000286979,0.0001737208,0.9369435,0.02252421,0.03967602],"study_design_scores_gemma":[0.000002450781,0.000005427266,0.00008822745,0.00007213465,0.00000614386,0.00007865288,0.0001198136,0.001206506,0.0001537577,0.7710205,0.2272406,0.000005707765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00370133,0.09671371,0.1576624,0.005367732,0.002435592,0.00007291378,0.0003569442,0.0005070737,0.7331823],"genre_scores_gemma":[0.1543103,0.08277082,0.1121502,0.00218995,0.005046692,0.0002546801,0.001041995,0.0004003366,0.641835],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02313457,"threshold_uncertainty_score":0.07739282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462454617304618,"score_gpt":0.2338557207504755,"score_spread":0.1792311745774293,"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."}}