{"id":"W4213180076","doi":"10.1504/ijsom.2007.012136","title":"Fuzzy AHP-based supplier selection in e-procurement","year":2007,"lang":"en","type":"article","venue":"International Journal of Services and Operations Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Purchasing; Analytic hierarchy process; Procurement; Computer science; Selection (genetic algorithm); Supplier evaluation; Operations research; Supplier relationship management; Quality (philosophy); Fuzzy logic; Process (computing); Process management; Operations management; Supply chain; Business; Supply chain management; Artificial intelligence; Engineering; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006513171,0.00059304,0.001026474,0.001718857,0.00144676,0.001544789,0.00123862,0.0009449408,0.002046411],"category_scores_gemma":[0.007317671,0.0005524665,0.0006291149,0.002361708,0.0009280214,0.001176039,0.001352891,0.0009144659,0.0002540062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126466,"about_ca_system_score_gemma":0.002557634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123086,"about_ca_topic_score_gemma":0.01236949,"domain_scores_codex":[0.9939941,0.004151508,0.0002209646,0.0001951617,0.001257862,0.0001804882],"domain_scores_gemma":[0.9971437,0.002066977,0.000144773,0.00005984695,0.0005071708,0.00007750875],"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":[0.0002383311,0.0001785947,0.001071299,0.0003729482,0.0001228636,0.0002705306,0.0006664639,0.8609306,0.001853877,0.02463725,0.001308312,0.108349],"study_design_scores_gemma":[0.0000395286,0.00004921994,0.0001727648,0.00003360307,0.00001580356,0.00002342365,0.0001321184,0.9871973,0.0007313293,0.01069782,0.0008918898,0.00001528532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04491923,0.0005346354,0.9471245,0.0003830652,0.00005720916,0.0005148485,0.00008284538,0.0001567276,0.00622688],"genre_scores_gemma":[0.5620367,0.0004025021,0.4350578,0.0000953938,0.00003227911,0.0005011473,0.00009843994,0.00002330918,0.001752492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0123086,"threshold_uncertainty_score":0.03444541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05331675194957398,"score_gpt":0.4015697694346537,"score_spread":0.3482530174850798,"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."}}