{"id":"W1965641112","doi":"10.1007/s11518-014-5259-4","title":"Approaches to improving consistency of interval fuzzy preference relations","year":2014,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Consistency (knowledge bases); Preference; Transitive relation; Interval (graph theory); Preference relation; Mathematics; Fuzzy logic; Relation (database); Interval arithmetic; Mathematical optimization; Weak consistency; Construct (python library); Computer science; Algorithm; Data mining; Strong consistency; Artificial intelligence; Statistics; Discrete mathematics","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":[0.03559,0.001251752,0.002532399,0.004764574,0.00118459,0.003847991,0.005988772,0.001824914,0.0026616],"category_scores_gemma":[0.1057228,0.001383913,0.00306772,0.006644452,0.001950829,0.006453245,0.004345742,0.004924837,0.000399961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700136,"about_ca_system_score_gemma":0.002124524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130418,"about_ca_topic_score_gemma":0.001923718,"domain_scores_codex":[0.9718223,0.01570914,0.001903413,0.002350543,0.007499035,0.0007156128],"domain_scores_gemma":[0.9043312,0.06875394,0.004388585,0.0105971,0.01120343,0.0007257795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001111755,0.0006706234,0.006847761,0.001037724,0.001091674,0.0003002539,0.001992015,0.2413273,0.005598732,0.263301,0.002650603,0.4740706],"study_design_scores_gemma":[0.0001343305,0.0003154933,0.001041464,0.0001796535,0.0002440977,0.0001238619,0.0002153752,0.7757363,0.00346519,0.2164394,0.002037368,0.00006741846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01424714,0.0004854043,0.9838414,0.0001728402,0.00004604289,0.00008098431,0.0000592885,0.0001061139,0.0009605911],"genre_scores_gemma":[0.2367089,0.0004716601,0.761099,0.0001781923,0.0001818687,0.0002284465,0.0002869095,0.0001169928,0.0007279337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03559,"threshold_uncertainty_score":0.1882202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.318111477529649,"score_gpt":0.3328493447356811,"score_spread":0.0147378672060321,"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."}}