{"id":"W2047478120","doi":"10.4018/ijpmat.2012010104","title":"Selection of Concrete Production Facility Location Integrating Fuzzy AHP with TOPSIS Method","year":2012,"lang":"en","type":"article","venue":"International Journal of Productivity Management and Assessment Technologies","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"TOPSIS; Analytic hierarchy process; Ideal solution; Facility location problem; Production (economics); Selection (genetic algorithm); Computer science; Fuzzy logic; Delphi method; Multiple-criteria decision analysis; Operations research; Delphi; Decision model; Site selection; Engineering; Artificial intelligence; Machine learning; Economics","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":[0.006627613,0.00016922,0.0003436801,0.0009843623,0.00009531908,0.0002008334,0.0006371505,0.00006600464,0.00002479924],"category_scores_gemma":[0.002568637,0.0001138313,0.00006950221,0.0007736116,0.0001641014,0.00187737,0.0003332198,0.0003005657,0.000001975297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542223,"about_ca_system_score_gemma":0.00004447297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009953184,"about_ca_topic_score_gemma":0.00000610799,"domain_scores_codex":[0.9965656,0.0002485265,0.0008655682,0.0003706022,0.001766362,0.0001832979],"domain_scores_gemma":[0.996174,0.0003138272,0.001320541,0.0003130249,0.001846568,0.00003207749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001858972,0.0001301355,0.1555592,0.00003335621,0.0002884835,0.000003969034,0.0003136277,0.0002488091,0.01360387,0.009136247,0.0005492464,0.8199471],"study_design_scores_gemma":[0.002773243,0.001253667,0.6110989,0.0008459401,0.0004298295,0.0007215209,0.04529342,0.004822892,0.235642,0.06480924,0.03124741,0.001061933],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6513094,0.0001733685,0.3421102,0.004098448,0.001148055,0.0003314055,0.000005042449,0.00007384869,0.0007502738],"genre_scores_gemma":[0.8022811,0.00005638847,0.1973618,0.000007891505,0.0001114632,0.000009926015,0.000001405529,0.000004807262,0.0001652088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8188852,"threshold_uncertainty_score":0.4641907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09645552508550574,"score_gpt":0.4356868303556376,"score_spread":0.3392313052701318,"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."}}