{"id":"W2276034082","doi":"10.3233/ifs-151640","title":"Modified difference-index based ranking bilinear programming approach to solving bimatrix games with payoffs of trapezoidal intuitionistic fuzzy numbers","year":2015,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Ranking (information retrieval); Mathematics; Bilinear interpolation; Mathematical optimization; Fuzzy logic; Applied mathematics; Computer science; Artificial intelligence; 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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01075882,0.0005246619,0.00167125,0.001889129,0.0002046893,0.00137445,0.001858798,0.0002171552,0.00002762031],"category_scores_gemma":[0.005162064,0.000334769,0.0004925154,0.002103565,0.0002130918,0.0005168397,0.0001800773,0.0005961836,0.00004156989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003815174,"about_ca_system_score_gemma":0.0007551513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872082,"about_ca_topic_score_gemma":0.00002372381,"domain_scores_codex":[0.9879023,0.0009482355,0.004110315,0.0007465774,0.00558896,0.0007036371],"domain_scores_gemma":[0.9892502,0.002114275,0.003011032,0.0009472565,0.003867299,0.0008099568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005988684,0.002331289,0.05284688,0.0006394018,0.0006503378,0.0003253225,0.01647154,0.7672434,0.004077509,0.00337833,0.002825371,0.1432219],"study_design_scores_gemma":[0.009378888,0.004930833,0.005473154,0.00720057,0.0005138955,0.00233973,0.09033269,0.8559338,0.00357661,0.007263428,0.01041157,0.002644877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3654848,0.0005380198,0.6297122,0.0001024903,0.001528724,0.0008701568,0.00001462623,0.0000401239,0.001708871],"genre_scores_gemma":[0.9647902,0.000007219914,0.03437863,0.00005780931,0.0004833007,0.00003129915,0.000003315896,0.00005889227,0.0001893265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5993054,"threshold_uncertainty_score":0.9999104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693656606930708,"score_gpt":0.375828775173058,"score_spread":0.2064631144799872,"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."}}