{"id":"W4416045513","doi":"10.11591/ijece.v15i6.pp5708-5716","title":"Computational modelling under uncertainty: statistical mean approach to optimize fuzzy multi-objective linear programming problem with trapezoidal numbers","year":2025,"lang":"","type":"article","venue":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Fuzzy logic; Robustness (evolution); Ranking (information retrieval); Linear programming; Fuzzy number; Software; Statistical model","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":[0.002171329,0.001040555,0.001226661,0.0007689082,0.000513589,0.001594153,0.001126969,0.0009637846,0.00110863],"category_scores_gemma":[0.003682168,0.0005220023,0.00131289,0.001068176,0.0008799495,0.001386748,0.001107167,0.001539381,0.0001936357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008674957,"about_ca_system_score_gemma":0.001456292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338575,"about_ca_topic_score_gemma":0.002359278,"domain_scores_codex":[0.9988545,0.0006051803,0.00004601805,0.0001101037,0.0003298768,0.00005437673],"domain_scores_gemma":[0.9986304,0.0009901093,0.0001227767,0.00006324657,0.0001621356,0.0000314093],"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":[0.00001203731,0.000008471702,0.0001124569,0.00005909863,0.00003114662,0.00002796386,0.00003268433,0.9551532,0.0004237283,0.0327508,0.0002635168,0.01112489],"study_design_scores_gemma":[0.000001638386,0.00001195749,0.00001731125,0.000007287069,0.000004322398,0.000006136409,0.00000614701,0.9888338,0.0001277164,0.01065481,0.0003249352,0.000003812331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002517745,0.0002003454,0.9955023,0.000105865,0.00002280556,0.00001329392,0.00001022378,0.00003132328,0.001596165],"genre_scores_gemma":[0.4538086,0.0009967317,0.5424186,0.0001722841,0.0001079267,0.0002716822,0.00006865711,0.00008799553,0.002067426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002338575,"threshold_uncertainty_score":0.01148319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007173021181386305,"score_gpt":0.2374975331487192,"score_spread":0.2303245119673329,"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."}}