{"id":"W1967386260","doi":"10.1080/0951192031000078185","title":"Application of a fuzzy decision support system in a Design for Assembly methodology","year":2003,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuzzy logic; Representation (politics); Computer science; Product (mathematics); Process (computing); Relevance (law); Product design; Decision support system; Systems engineering; Industrial engineering; Data mining; Engineering; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002002966,0.0006505957,0.0005938389,0.000828732,0.0007745138,0.001458825,0.0007861494,0.0009805929,0.002366042],"category_scores_gemma":[0.003553772,0.0002810602,0.0007280993,0.000670501,0.0005401779,0.0008722453,0.0006478976,0.0007117229,0.0003474092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001575,"about_ca_system_score_gemma":0.001358952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003146871,"about_ca_topic_score_gemma":0.001847911,"domain_scores_codex":[0.9990066,0.0003334496,0.00009706462,0.0001661154,0.0003366782,0.0000601059],"domain_scores_gemma":[0.9989605,0.0006392593,0.00008341747,0.00006639246,0.0002077983,0.00004264072],"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":[0.000661665,0.0003702953,0.002240099,0.0004912043,0.0001545227,0.0008713495,0.0007008598,0.538503,0.02874615,0.05354105,0.001531908,0.372188],"study_design_scores_gemma":[0.00006321193,0.0001810982,0.0002437847,0.00005089375,0.00004414659,0.00008788856,0.00003642951,0.9786911,0.006388754,0.01055763,0.003634045,0.00002093102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03087925,0.0001465289,0.9658492,0.0001987703,0.00003422976,0.0001595774,0.00005362538,0.0004323399,0.002246489],"genre_scores_gemma":[0.4212546,0.0001584563,0.5771321,0.00006783306,0.00002613826,0.0002036061,0.00009086802,0.00001492874,0.001051377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003146871,"threshold_uncertainty_score":0.01059282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015474207515841,"score_gpt":0.281203661933026,"score_spread":0.2510489198578676,"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."}}