{"id":"W3036380211","doi":"10.18280/jesa.530211","title":"Dynamic Intuitionistic Fuzzy Multiple Attributes Decision Making Method Based on Prospect Theory and VIKOR","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Guangxi Province","keywords":"VIKOR method; Computer science; Fuzzy logic; Mathematics; Mathematical optimization; Operations research; Artificial intelligence","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":[0.003794562,0.000862923,0.001849383,0.002570287,0.00090492,0.002219013,0.001598311,0.000866265,0.003097916],"category_scores_gemma":[0.004477315,0.0005856733,0.001828605,0.002034343,0.0008544213,0.002749788,0.001185241,0.001407106,0.0002722091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091237,"about_ca_system_score_gemma":0.002197211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817711,"about_ca_topic_score_gemma":0.001349125,"domain_scores_codex":[0.9967806,0.001713726,0.0001691243,0.0003962475,0.000796999,0.0001432753],"domain_scores_gemma":[0.9980583,0.001367912,0.00009147958,0.00006697834,0.0003430637,0.00007234643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005176959,0.0003872714,0.001797101,0.0008112808,0.0004550014,0.0002859443,0.0005946806,0.4232464,0.005076156,0.2666337,0.002043351,0.2981514],"study_design_scores_gemma":[0.00005034611,0.0001512089,0.000609036,0.00005585336,0.00008833935,0.0001144411,0.00008891248,0.9346038,0.001205034,0.06102956,0.001929736,0.00007368054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0108592,0.000281823,0.985657,0.0001111964,0.00004720379,0.0000781331,0.00002873731,0.00006323599,0.002873424],"genre_scores_gemma":[0.4695433,0.000606215,0.5259593,0.00006167126,0.00005844785,0.0003401673,0.0001173861,0.00003680916,0.003276739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003794562,"threshold_uncertainty_score":0.02006781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964467014663971,"score_gpt":0.3275860271205056,"score_spread":0.2979413569738658,"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."}}