{"id":"W4401416213","doi":"10.4018/ijssmet.347947","title":"A Comprehensive Survey and Literature Review on TOPSIS","year":2024,"lang":"en","type":"article","venue":"International Journal of Service Science Management Engineering and Technology","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"TOPSIS; Process (computing); Computer science; Management science; Multiple-criteria decision analysis; Risk analysis (engineering); Operations research; Engineering; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.002430224,0.0001160584,0.0002078895,0.002477312,0.00004817468,0.0007245531,0.001185876,0.0000434573,0.00002126584],"category_scores_gemma":[0.0008269263,0.00008117846,0.00003079145,0.002766366,0.00009050714,0.0004611972,0.0004787634,0.0002329891,0.00001555729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004645823,"about_ca_system_score_gemma":0.00002115157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002078062,"about_ca_topic_score_gemma":0.00000170494,"domain_scores_codex":[0.9977989,0.00002604313,0.0004768313,0.0003280515,0.001226021,0.0001441521],"domain_scores_gemma":[0.9979866,0.0004179013,0.0001259306,0.0002133991,0.001191301,0.0000649326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006066764,0.00007339619,0.001634959,0.0009076388,0.0002911684,0.002731065,0.0005479418,0.001733306,0.00614381,0.06299306,0.003861397,0.9190216],"study_design_scores_gemma":[0.002126942,0.0006961688,0.1109729,0.05596039,0.0001338679,0.008587957,0.001957308,0.2387088,0.001231311,0.04559752,0.5326837,0.001343084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8228117,0.08953889,0.01069129,0.06925949,0.00636622,0.0003731303,0.00003773841,0.0001855295,0.0007360226],"genre_scores_gemma":[0.9795303,0.01259667,0.006067175,0.001606068,0.00007288129,0.000003390334,9.803391e-7,0.000009654397,0.0001129169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9176785,"threshold_uncertainty_score":0.6986882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05422489591092754,"score_gpt":0.3886326750183819,"score_spread":0.3344077791074544,"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."}}