Nowadays, manufacturing companies have been working based on people-oriented approach. Customer
satisfaction is currently not only for external customers but also required for internal customers. In this
context, human resource is one of the most important resources to manage and vital for manufacturing
companies in terms of customers, employees and managers. With this perception, The Human Resource
Management (HRM) issue is emerged. HRM enables effective and efficient management of human
resources. Manufacturing companies considers that the existing abilities and qualification of its
employees is insufficient for achieving their targets. The gap between desired level of capabilities and
the existing capabilities of the human recourses should be narrowed. Therefore talent management
(TM) concept is introduced in order to deal with the gap and reveal the required personnel profile. TM
raises institutional awareness and is a supportive tool for HRM. The TM contributes to remove wastes
of the companies and supports self-improvement of its employees. In other words the TM is a key of suc-
cess about exploring abilities. The aim of this study is to propose a model for investigating competency
level of employees and utilizing this information in obtaining a yield in an optimal level from employees’
emotional and intellectual capabilities, and experiences. The level of perception and job-ability match of
each employee is different. The tests implemented in companies for TM purposes are usually evaluated in
crisp logic like black and white. In this study, a fuzzy logic approach is proposed in order to deal with
uncertainty and vagueness in assessment of TM.