{"id":"W3161922167","doi":"10.5267/j.dsl.2021.2.002","title":"Comparative analysis of airline financial and operational performances: A fuzzy AHP and TOPSIS integrated approach","year":2021,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Multiple-criteria decision analysis; Operations research; Profit (economics); Operational efficiency; Computer science; Analytic hierarchy process; Fuzzy logic; Ranking (information retrieval); Risk analysis (engineering); Business; Economics; Marketing; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005312707,0.0009136021,0.0008458171,0.004808687,0.000978447,0.00212347,0.0007815809,0.000702996,0.001954204],"category_scores_gemma":[0.006420956,0.0003958494,0.001454721,0.004167609,0.0006428717,0.001177443,0.000804025,0.0006420093,0.0001299698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073303,"about_ca_system_score_gemma":0.002385883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594667,"about_ca_topic_score_gemma":0.01585138,"domain_scores_codex":[0.996741,0.001695533,0.0001763162,0.0001657251,0.001064983,0.0001563933],"domain_scores_gemma":[0.9970738,0.001920168,0.0002462341,0.00008103252,0.0006088915,0.00006984128],"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":[0.0005262394,0.00034064,0.008697727,0.001128187,0.000602447,0.0005014537,0.001630304,0.7910567,0.008377264,0.01250037,0.0009693166,0.1736693],"study_design_scores_gemma":[0.00002553831,0.0002350583,0.003182997,0.0000600269,0.00009586428,0.0000443517,0.0009055831,0.9904215,0.00148182,0.002952624,0.0005574822,0.00003718752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4756935,0.0007320171,0.5127358,0.000397618,0.00004971135,0.0007149181,0.0004347224,0.0002724052,0.008969382],"genre_scores_gemma":[0.8552578,0.0002936732,0.1435429,0.0000185111,0.000009639824,0.0001956993,0.000178402,0.00001091871,0.0004923806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01594667,"threshold_uncertainty_score":0.0317077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254219617976046,"score_gpt":0.4103271431538624,"score_spread":0.2849051813562578,"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."}}