A data-driven MADM model for personnel selection and improvement

A data-driven MADM model for personnel selection and improvement

Personnel selection and human resource improvement are characteristically multiple-attribute decision-making (MADM) problems. Previously developed MADM models have principally depended on experts’ judgements as input for the derivation of solutions. However, the subjectivity of the experts’ experien...

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Bibliographic Details
Main Authors: Yen-Ching Chuang, Shu-Kung Hu, James J. H. Liou, Gwo-Hshiung Tzeng
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2020-06-01
Series:Technological and Economic Development of Economy
Subjects:
human resource development
personnel selection and improvement
data-driven decision-making environment
data-driven multiple attribute decision-making (data-driven madm)
rough set theory (rst)
dematel-based analytical network process (danp)
preference ranking organization method for enrichment evaluation with aspiration level (promethee-as)
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/12366

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https://journals.vgtu.lt/index.php/TEDE/article/view/12366

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