{"id":"W1963896405","doi":"10.5539/ibr.v7n10p170","title":"Evaluation of Performance Appraisal Methods through Appraisal Errors by Using Fuzzy VIKOR Method","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance appraisal; VIKOR method; Rank (graph theory); CLARITY; Fuzzy logic; Computer science; Project appraisal; Evaluation methods; Management science; Operations research; Reliability engineering; Mathematics; Management; Artificial intelligence; Engineering; Business; Finance; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05855669,0.001409396,0.001349399,0.008708647,0.001289682,0.003639011,0.001633926,0.0006597935,0.001826931],"category_scores_gemma":[0.1038343,0.0003874493,0.001071802,0.005060027,0.001206703,0.002215566,0.001384579,0.001072658,0.0003042342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902809,"about_ca_system_score_gemma":0.002535185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625003,"about_ca_topic_score_gemma":0.002016057,"domain_scores_codex":[0.9417346,0.0284081,0.006567917,0.001529512,0.02107619,0.0006836793],"domain_scores_gemma":[0.9078149,0.05692678,0.009474457,0.003256637,0.02205569,0.0004715903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001695214,0.0004294462,0.04490884,0.004259426,0.0007222405,0.0004399453,0.01405838,0.03308247,0.0180188,0.02567304,0.00396649,0.8527457],"study_design_scores_gemma":[0.0006712317,0.006102039,0.1647574,0.004633442,0.001579344,0.001673396,0.02337658,0.6288677,0.06137637,0.0647857,0.04096301,0.001213797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2624296,0.002546855,0.7135051,0.0005881136,0.0004380738,0.002566113,0.0002989901,0.0004014685,0.01722575],"genre_scores_gemma":[0.579307,0.0009250123,0.4168912,0.00003651469,0.00006895164,0.001187242,0.0001503403,0.00004015919,0.001393593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05855669,"threshold_uncertainty_score":0.3096811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.564277268446421,"score_gpt":0.6644549475298825,"score_spread":0.1001776790834615,"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."}}