{"id":"W1972500909","doi":"10.1108/09727981211225707","title":"Fuzzy EOQ model using possibilistic approach","year":2012,"lang":"en","type":"article","venue":"Journal of Advances in Management Research","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Economic order quantity; Fuzzy logic; Holding cost; Fuzzy number; Inventory control; Operations research; Economic shortage; Order (exchange); Variance (accounting); Mathematical optimization; Fuzzy set; Computer science; Mathematics; Supply chain; Economics; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005182134,0.00009690879,0.0002347874,0.0006081898,0.00008922207,0.00005185657,0.0003030108,0.00004588787,0.00001152632],"category_scores_gemma":[0.0002764394,0.00007578774,0.00006083849,0.0005340531,0.00005756893,0.0009897893,0.0001335748,0.0003621095,0.000002745567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738072,"about_ca_system_score_gemma":0.00002996272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003148082,"about_ca_topic_score_gemma":0.000001939761,"domain_scores_codex":[0.9976974,0.0002146578,0.000556602,0.0001174991,0.0009697239,0.00044414],"domain_scores_gemma":[0.999021,0.0001808636,0.0002330111,0.0002262722,0.0002402905,0.00009859132],"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":[0.0001879746,0.001215955,0.006290719,0.002829648,0.00008415906,0.00004884724,0.001774477,0.7189838,0.0001485428,0.2608906,0.002012596,0.00553277],"study_design_scores_gemma":[0.001914528,0.0001833885,0.0007225256,0.0009372196,0.00007117954,0.00008527341,0.007318479,0.4061222,0.00005654984,0.5799242,0.002294305,0.0003700992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2895147,0.01103812,0.4006177,0.0001594614,0.0008874465,0.001614024,0.000004980203,0.00003194229,0.2961316],"genre_scores_gemma":[0.6863604,0.0008142063,0.3114931,0.000006905432,0.000220915,0.000006901156,6.042519e-7,0.00002101138,0.001075938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3968457,"threshold_uncertainty_score":0.3090534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2195942813463982,"score_gpt":0.4739032902489773,"score_spread":0.2543090089025791,"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."}}