{"id":"W4380486168","doi":"10.1007/978-3-031-30337-1_4","title":"Mehar Method-III to Find All More-for-Less Solutions of Symmetric Intuitionistic Fuzzy Transportation Problems with Mixed Constraints","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in fuzziness and soft computing","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Fuzzy number; Fuzzy logic; Transportation theory; Mathematical optimization; Fuzzy set operations; Discrete mathematics; Algebra over a field; Applied mathematics; Fuzzy set; Pure mathematics; Computer science; 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":[0.001573356,0.001202328,0.001574049,0.001222144,0.0007401018,0.001028566,0.002273188,0.001889097,0.01375887],"category_scores_gemma":[0.002565217,0.0006919529,0.001910155,0.001053185,0.0008972321,0.001412975,0.002186124,0.003260568,0.002326024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006110104,"about_ca_system_score_gemma":0.001284438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939436,"about_ca_topic_score_gemma":0.002576413,"domain_scores_codex":[0.9995048,0.0001725328,0.00002766655,0.00008708345,0.0001487374,0.00005919441],"domain_scores_gemma":[0.9993349,0.0004118925,0.00002819645,0.00006120665,0.0001376441,0.00002621055],"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":[0.0002600617,0.0002491847,0.0002990226,0.0008809746,0.0003084584,0.0001526424,0.0002426086,0.2877112,0.01026499,0.3064093,0.02053226,0.3726893],"study_design_scores_gemma":[0.00004042071,0.0001210324,0.0001208619,0.00006398972,0.00004796687,0.00008586337,0.00005150297,0.9166281,0.003658782,0.0685536,0.01059875,0.00002920346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003117296,0.0003579738,0.9862578,0.0002127273,0.0002198822,0.0001000998,0.0001043103,0.0003059475,0.009323915],"genre_scores_gemma":[0.04413917,0.0002768529,0.9394677,0.0002812902,0.00008769897,0.0003383522,0.0002095819,0.000315981,0.01488337],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01375887,"threshold_uncertainty_score":0.04602802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08852911648091881,"score_gpt":0.3117108020247817,"score_spread":0.2231816855438629,"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."}}