{"id":"W4403583470","doi":"10.1016/j.asoc.2024.112362","title":"Synthesizing complexity: Trends, challenges, and future directions in fuzzy-based multicriteria decision-making (FMCDM) methods","year":2024,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Fuzzy logic; Management science; Operations research; Artificial intelligence; Mathematics; 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":[0.01869851,0.001489261,0.003313826,0.004254468,0.001168196,0.007521241,0.00276852,0.001900443,0.002915528],"category_scores_gemma":[0.0461588,0.0006928569,0.002391921,0.005066623,0.002940616,0.008200109,0.004059093,0.003922999,0.0004038979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251448,"about_ca_system_score_gemma":0.003150118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308982,"about_ca_topic_score_gemma":0.003771692,"domain_scores_codex":[0.989112,0.006321977,0.0006579844,0.0007924044,0.002880117,0.0002356681],"domain_scores_gemma":[0.9459543,0.04491029,0.002241791,0.002044664,0.004142263,0.000706699],"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":[0.0001528702,0.000219078,0.003238737,0.002615428,0.0005452371,0.00007267145,0.001122564,0.1484306,0.001041604,0.3091435,0.002774316,0.5306435],"study_design_scores_gemma":[0.00002942142,0.00008881239,0.0004788429,0.0005543463,0.00007375399,0.00004923196,0.0004466664,0.4456842,0.0006244729,0.5451188,0.006785488,0.00006590152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01048765,0.01298002,0.9689209,0.003799611,0.0001801056,0.00009090231,0.00006418531,0.0001101228,0.003366524],"genre_scores_gemma":[0.2106782,0.009862999,0.7766649,0.0005942159,0.0006689074,0.0002668303,0.0001712356,0.0001161859,0.0009765935],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01869851,"threshold_uncertainty_score":0.09888828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713453129845609,"score_gpt":0.4552920282500601,"score_spread":0.2839467152654992,"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."}}