{"id":"W1974667273","doi":"10.1007/s10700-007-9015-9","title":"Fuzzy matrix games via a fuzzy relation approach","year":2007,"lang":"en","type":"article","venue":"Fuzzy Optimization and Decision Making","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Fuzzy number; Fuzzy logic; Mathematical optimization; Relation (database); Dual (grammatical number); Matrix (chemical analysis); Fuzzy set operations; Fuzzy associative matrix; Fuzzy classification; Algebra over a field; Fuzzy set; Computer science; Artificial intelligence; 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":[0.001432417,0.0009995522,0.001187339,0.001042265,0.001030919,0.002573671,0.00155971,0.001737141,0.009043104],"category_scores_gemma":[0.00360076,0.0004935993,0.001257427,0.001047263,0.001891994,0.004112004,0.001594229,0.002237963,0.0009179002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168595,"about_ca_system_score_gemma":0.001070328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178754,"about_ca_topic_score_gemma":0.001789703,"domain_scores_codex":[0.9987457,0.0006690106,0.00004525856,0.0001221746,0.0003351521,0.00008275698],"domain_scores_gemma":[0.9987393,0.0008448688,0.00009294041,0.00008287042,0.0001420881,0.00009796384],"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":[0.000009389311,0.00001580406,0.00001402025,0.00001459891,0.000008574975,0.00002271192,0.00004624968,0.008450257,0.0002123974,0.9879282,0.0005824602,0.002695333],"study_design_scores_gemma":[0.00001926904,0.00003246143,0.00003320877,0.00001195251,0.00001445887,0.00003703258,0.00002948131,0.1272241,0.0001868768,0.8696648,0.002734127,0.00001231442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0120886,0.0004147314,0.9391305,0.001367222,0.0001738397,0.00009414232,0.0000963834,0.00007151371,0.04656303],"genre_scores_gemma":[0.7039977,0.001271835,0.2428144,0.0004542661,0.0005116058,0.000446596,0.00009949616,0.00007902435,0.05032508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009043104,"threshold_uncertainty_score":0.03025216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006299047674894,"score_gpt":0.31972219067679,"score_spread":0.289659200200041,"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."}}