International Journal of Man-Machine Studies
From rough set theory to evidence theory
Advances in the Dempster-Shafer theory of evidence
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets and Multivariate Statistical Classification: A Simulation Study
Computational Economics
Approaches to knowledge reduction based on variable precision rough set model
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
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It is now a leading company strategy to apply competency models for identifying and developing capabilities of their managers. However, a competency model usually contains too many intended competencies to be implemented. Recently, some scholars and experts argue that eight is the maximum for managers to assess. Hence, how to simplify the manager competency model is becoming an important issue. Well known as data mining techniques, the rough sets theory is a relatively new approach and good at data reduction in qualitative analysis, so that the rough set approach is suitable for dealing with the qualitative problem in simplifying the competency model. The aim of this paper is to mining the minimal set of competencies through using the rough set approach to help companies for better utilizing the competency model. The results show that the “self-management” competency is the most indispensable portion to a manager competency model.