{"id":"W1998763779","doi":"10.1007/s00477-008-0221-y","title":"Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties","year":2008,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Water resources management and optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Regina","funders":"","keywords":"Mathematical optimization; Stochastic programming; Fuzzy logic; Stochastic dominance; Computer science; Dual (grammatical number); Linear programming; Membership function; Operations research; Fuzzy set; Mathematics; Artificial intelligence","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":[0.004527465,0.001539402,0.002633819,0.0009913774,0.0008646721,0.002494213,0.00248703,0.003957329,0.005692786],"category_scores_gemma":[0.007357024,0.001530113,0.00186601,0.001548645,0.001579786,0.002234837,0.002280446,0.002151257,0.0002332401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979674,"about_ca_system_score_gemma":0.002281395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050941,"about_ca_topic_score_gemma":0.007401623,"domain_scores_codex":[0.9986545,0.0006727542,0.00004836468,0.0001715548,0.0002091768,0.0002436612],"domain_scores_gemma":[0.9958797,0.003184533,0.0002307003,0.00008879838,0.0003539019,0.0002625049],"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":[0.0001153698,0.00004720718,0.0001895365,0.00004590127,0.00002610915,0.00008243237,0.00002862157,0.9855333,0.0003820476,0.009141869,0.0002348723,0.00417274],"study_design_scores_gemma":[0.00001302016,0.00002222584,0.00003868132,0.000003166045,0.000004861402,0.000004714686,0.000003994851,0.9979608,0.00009913783,0.00178431,0.00005903356,0.000006040438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06652514,0.0002932496,0.9258617,0.000550397,0.000112819,0.0001591674,0.000188284,0.0001385362,0.006170692],"genre_scores_gemma":[0.8273773,0.0002564394,0.1640797,0.0001499644,0.00009519639,0.0003529316,0.0001609525,0.00009405843,0.007433538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01050941,"threshold_uncertainty_score":0.02394378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725796948346918,"score_gpt":0.2709108660402232,"score_spread":0.253652896556754,"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."}}