{"id":"W2147277117","doi":"10.5267/j.msl.2012.02.006","title":"Applying fuzzy analytic network process in quality function deployment model","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Quality (philosophy); Function (biology); Fuzzy logic; Quality function deployment; Software deployment; Analytic network process; Data mining; Process management; Industrial engineering; Artificial intelligence; Operations research; Analytic hierarchy process; Mathematics; Business; Software engineering; New product development; Engineering; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00665718,0.0003098818,0.0002699458,0.0009140047,0.0005133949,0.0005249874,0.0007146556,0.00004239233,0.00007165659],"category_scores_gemma":[0.00008095971,0.0003097754,0.00008111141,0.003684199,0.0002402103,0.005113972,0.000367127,0.0002132373,0.0004227471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998418,"about_ca_system_score_gemma":0.00001037752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007408072,"about_ca_topic_score_gemma":0.0000116117,"domain_scores_codex":[0.9958251,0.00003881687,0.0006626281,0.0008083108,0.001394716,0.001270445],"domain_scores_gemma":[0.9988577,0.00002998863,0.0003563836,0.0006543312,0.00005173195,0.00004985609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001275431,0.0003969843,0.4947251,0.0006029005,0.00005972987,0.000006580487,0.000186182,0.3718276,0.001445137,0.1056175,0.01732742,0.007677257],"study_design_scores_gemma":[0.003681497,0.00003760833,0.6109312,0.0003850897,0.0006054755,0.000003678371,0.00369644,0.2814092,0.0002749556,0.04998287,0.04547827,0.003513746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8795016,0.00008131768,0.07422951,0.008382176,0.003052184,0.002970861,6.621209e-7,0.0007339289,0.03104778],"genre_scores_gemma":[0.9673169,0.000003594196,0.0009127215,0.02992461,0.001027802,0.0005376765,0.00000818818,0.00003493936,0.0002335698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116206,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952461395375719,"score_gpt":0.2873723610166569,"score_spread":0.2378477470628997,"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."}}