{"id":"W3217806805","doi":"10.3934/mbe.2022050","title":"Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Pythagorean theorem; Closeness; Confidence interval; Computer science; Sensitivity (control systems); Fuzzy logic; Fuzzy set; CLs upper limits; Mathematics; Artificial intelligence; Algorithm; Data mining; Statistics; Medicine; Engineering","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":[0.005621649,0.000995164,0.0008082338,0.00254661,0.0006398555,0.003163279,0.001135115,0.0009091076,0.001661351],"category_scores_gemma":[0.01187234,0.0003767844,0.001525041,0.003570756,0.002895785,0.004616846,0.001999376,0.002741376,0.0002282247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547509,"about_ca_system_score_gemma":0.0007807513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282638,"about_ca_topic_score_gemma":0.0004952021,"domain_scores_codex":[0.996107,0.001420111,0.0003612616,0.0006210982,0.001309311,0.0001812632],"domain_scores_gemma":[0.996452,0.002099982,0.0004365338,0.0003250162,0.0005688347,0.0001176268],"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":[0.00006521857,0.00002762721,0.001039003,0.0002241126,0.0000982931,0.0001695498,0.0004888856,0.06906287,0.002449405,0.854194,0.001151635,0.07102948],"study_design_scores_gemma":[0.00001434717,0.00009679716,0.000750208,0.000102121,0.00005045841,0.0002472479,0.0001562743,0.4583814,0.001988785,0.5316542,0.006494256,0.0000640085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01589467,0.0018909,0.9756787,0.000420629,0.00009343808,0.00003534738,0.00008737381,0.00005874269,0.005840123],"genre_scores_gemma":[0.5717587,0.003573545,0.4210304,0.0001941257,0.0003307446,0.0002089967,0.0001414956,0.00005853125,0.002703398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005621649,"threshold_uncertainty_score":0.0297305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502224082136485,"score_gpt":0.3731863582442714,"score_spread":0.2229639500306229,"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."}}