{"id":"W2041377425","doi":"10.1016/j.cageo.2009.05.011","title":"Using the fuzzy majority approach for GIS-based multicriteria group decision-making","year":2009,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Group decision-making; Operationalization; Decision maker; Fuzzy logic; Group (periodic table); Computer science; Data mining; Operations research; Artificial intelligence; 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":[0.005476783,0.0009214472,0.001879378,0.001500899,0.001459835,0.002083868,0.001480601,0.001048395,0.002316638],"category_scores_gemma":[0.01117477,0.000481459,0.001300986,0.001436708,0.0008086899,0.001972167,0.001691944,0.001038405,0.0004215876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310498,"about_ca_system_score_gemma":0.001304221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00343889,"about_ca_topic_score_gemma":0.004073307,"domain_scores_codex":[0.9954612,0.002350874,0.0002754069,0.0003651287,0.00136402,0.0001833781],"domain_scores_gemma":[0.9960443,0.002630304,0.0001937369,0.0002193272,0.0008297257,0.00008257842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004402467,0.0001261075,0.001472449,0.0004333121,0.0005328298,0.000267073,0.0006282926,0.5805178,0.006530487,0.04463234,0.001500635,0.3629184],"study_design_scores_gemma":[0.00002734039,0.0000872521,0.0002160917,0.00003331489,0.00006451907,0.00004798982,0.0001080422,0.9587322,0.002251635,0.03708846,0.001314226,0.00002881184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01363117,0.0001368244,0.9839288,0.000125592,0.00004427324,0.00005777255,0.00002212525,0.0000884008,0.001965097],"genre_scores_gemma":[0.4001511,0.0002025758,0.5979114,0.00008998063,0.00005900038,0.0002132003,0.00006725729,0.00004753445,0.001257888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005476783,"threshold_uncertainty_score":0.02896434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1901081355967842,"score_gpt":0.4395995889815037,"score_spread":0.2494914533847195,"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."}}