Proper and effective employee training is vital for a company’s success.
Training of employees would increase a company’s performance when
assigned to the right people. This study proposes an integrated model to
evaluate employees and choose the right candidate for the training
program. Additionally, the clustering stage gives essential information
regarding the number of people assigned. The flexibility of the proposed
methodology is also essential when there is a constraint limiting the
number of assignments. The objective of the proposed study is to suggest
an expert system for the human resources department of a company. The
proposed model has three stages, namely Delphi, INV-AHP, and FCM. The
input of the model are expert opinions about possible criteria, values
of each candidate’s assessment, and bi-comparison of agreed criteria.
Outputs are weights, members of each cluster representing possible
candidates. To the best of our research integrated approach of the
methods are first in the literature. MCDM approach in training
assignment is also new in literature. The proposed Multi-Criteria
Decision Making (MCDM) approach focuses on deciding the correct number
and right employees for training assignments. The proposed model also
allows the integration of constraints such as the number of people
assigned. The model can define the possible number of people to be
assigned when needed, such as budgeting requirements. The application is
performed in a real business. The feedback received from the
decision-makers showed that the proposed method would apply to
additional areas, such as recruitment and promotion.