Development Of Fuzzy Logic Model For Leadership Competencies Assessment Case Study: Khouzestan Steel Company
Leadership competencies assessment (L.C.A.) is a process that evaluate leader’s competencies, and is a common
function carried out in modern companies. L.C.A. is important for leaders to know their strengths and weaknesses, to improve
their competencies and to have a continuous improvement. There are different assessment methodologies, however none of
them is universal. In recent years multi-rater (360-degree) assessment became very popular but the critical problem of this
method is that, it is based on human judgement and perception. This paper deals with a scientific approach in L.C.A and
develop a Simulink model based on fuzzy inference system (F.I.S.). This model uses linguistic labels and adjustable numerical
values to represent ambiguous concepts, such as subjectivity. This paper also demonstrates a comparison between the
traditional methodology based on Boolean logic approach and the proposed one, based on fuzzy logic approach for L.C.A. The
model was validated in Khouzestan steel company (K.S.C.), and final results show fuzzy logic method advantages in
comparison with traditional methods.
Keywords- 360-Degree Leadership Competencies Assessment, Fuzzy Inference System, Simulink.