{"id":"W2086262313","doi":"10.1002/int.20491","title":"Evidential reasoning using extended fuzzy Dempster-Shafer theory for handling various facets of information deficiency","year":2011,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vagueness; Dempster–Shafer theory; Fuzzy logic; Data mining; Artificial intelligence; Computer science; Ambiguity; Belief structure; Ignorance; Fuzzy set operations; Fuzzy set; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01296654,0.001375053,0.001802779,0.003880482,0.0009780243,0.002897724,0.002006121,0.001980427,0.001509466],"category_scores_gemma":[0.02332004,0.0005839886,0.002181058,0.00263329,0.00278779,0.006119448,0.00265187,0.002272868,0.0002157045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900808,"about_ca_system_score_gemma":0.001281951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375521,"about_ca_topic_score_gemma":0.001463909,"domain_scores_codex":[0.9953012,0.002186117,0.0004275924,0.0003838287,0.001559625,0.0001415168],"domain_scores_gemma":[0.9905673,0.006725085,0.0008832163,0.0007889551,0.000888493,0.0001469641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007815871,0.00006181353,0.0009014996,0.0004202234,0.0002339252,0.000607556,0.0006913715,0.2817511,0.001694265,0.6515675,0.0007934699,0.06119908],"study_design_scores_gemma":[0.00003186834,0.00005358591,0.0002040703,0.00008063624,0.00005990057,0.0001637913,0.00007533145,0.5298533,0.0008964569,0.4672237,0.001317779,0.0000396471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007593124,0.0005108421,0.9896131,0.0002657895,0.00002697228,0.0000416555,0.00002126305,0.00002395131,0.001903316],"genre_scores_gemma":[0.4872857,0.001234128,0.509728,0.0001581617,0.0001402864,0.000210222,0.00008231484,0.00001408926,0.001147051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01296654,"threshold_uncertainty_score":0.06857443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2264374948042466,"score_gpt":0.4315268378480013,"score_spread":0.2050893430437547,"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."}}