{"id":"W2886110736","doi":"10.3233/jifs-169717","title":"Dynamic interval-valued intuitionistic normal fuzzy aggregation operators and their applications to multi-attribute decision-making","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Weighting; Mathematics; Interval (graph theory); Mathematical optimization; Entropy (arrow of time); Fuzzy logic; Score; Computer science; Data mining; Algorithm; Artificial intelligence; Statistics; Combinatorics","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":[0.004360597,0.001214674,0.001029665,0.001392504,0.000643639,0.001739862,0.001236007,0.00070914,0.001044704],"category_scores_gemma":[0.008242964,0.000361583,0.001644381,0.002304796,0.001514418,0.00303171,0.001272082,0.002306569,0.0001747737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012677,"about_ca_system_score_gemma":0.001196858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565887,"about_ca_topic_score_gemma":0.001121266,"domain_scores_codex":[0.9967264,0.001304834,0.0002725518,0.0004649813,0.001109714,0.0001214443],"domain_scores_gemma":[0.9972102,0.001707353,0.0003122083,0.0001638821,0.0005220205,0.0000843472],"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":[0.0001084829,0.0001100136,0.001110791,0.0004158051,0.0001701094,0.0003508239,0.0009707561,0.4416582,0.007450008,0.3512709,0.001249533,0.1951346],"study_design_scores_gemma":[0.000007831663,0.00006724896,0.0002123969,0.00003061998,0.00002408809,0.0001026248,0.00006733926,0.8884114,0.00139551,0.1082348,0.001407843,0.00003823295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004645284,0.0003180427,0.9938657,0.00006708918,0.0000340988,0.00002781956,0.00001227407,0.00003996119,0.0009897194],"genre_scores_gemma":[0.3151525,0.001019423,0.682219,0.00006668069,0.0001076256,0.0002304545,0.00006662576,0.00003780444,0.001099974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004360597,"threshold_uncertainty_score":0.02306134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08552965137951622,"score_gpt":0.4063461683728289,"score_spread":0.3208165169933127,"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."}}