{"id":"W1970647354","doi":"10.1007/s10852-006-9042-5","title":"An Interval-Parameter Fuzzy Approach for Multiobjective Linear Programming Under Uncertainty","year":2006,"lang":"en","type":"article","venue":"Journal of Mathematical Modelling and Algorithms","topic":"Water resources management and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Mathematical optimization; Fuzzy logic; Goal programming; Linear programming; Pareto principle; Computer science; Preference; Mathematics; Artificial intelligence; Statistics","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":[0.001798792,0.0009588909,0.001390259,0.0008415041,0.0005046995,0.001624771,0.001790252,0.001677916,0.003252791],"category_scores_gemma":[0.00393165,0.0006211655,0.001209605,0.001306367,0.0007782703,0.00219777,0.001122154,0.001804257,0.0003263424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133818,"about_ca_system_score_gemma":0.0007691027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363033,"about_ca_topic_score_gemma":0.00274569,"domain_scores_codex":[0.9993517,0.0002515337,0.0000349432,0.00009224923,0.0002245408,0.00004506845],"domain_scores_gemma":[0.9990766,0.0006509313,0.00005954379,0.00004244216,0.0001407215,0.0000296463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003270346,0.00004059742,0.0001128416,0.00008911052,0.0000510413,0.00006289542,0.00007355934,0.921092,0.0009231739,0.04347838,0.0005736629,0.03347005],"study_design_scores_gemma":[0.000005859954,0.00001398042,0.00002156074,0.00001016447,0.00000915817,0.000009495167,0.00000664009,0.9838059,0.00008926075,0.01563369,0.0003885281,0.000005819233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003811682,0.0002781999,0.9935809,0.0001054234,0.00003265694,0.00002097922,0.00002432233,0.00003473404,0.002111187],"genre_scores_gemma":[0.4262857,0.0008418416,0.5685909,0.0001711334,0.0001596439,0.0002928914,0.0001018683,0.00009948568,0.00345646],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003363033,"threshold_uncertainty_score":0.01088172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529634040296552,"score_gpt":0.2452207822065231,"score_spread":0.2199244418035576,"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."}}