Designing Fuzzy Expert System to select managers based upon competency Case Study: Middle Managers of Automobile manufacturing company (Iran Khodro)

Abstract

An essential and inevitable component of the efficiency of an organization is efficient managers. This study aims to design a fuzzy expert system in order to select Automobile manufacturing company middle managers based upon their competency. In contrast to conventional methods, which restrict assessment and measurement to specific criteria and supervisor's opinion, this research provides a comprehensive study to measure and compare managers' abilities. Thus, it has an applicable aspect. In terms of data collections and variables construct, this study is a descriptive research aims to modeling. The method of collecting data is field work and documentary research uses databases and experts' opinions. In order to construct a model, it used a mathematical framework (fuzzy Inference system). After designing a conceptual framework and verifying its validity, a MATLAB fuzzy toolbox has been used to design a fuzzy Inference system. In order to measure competency of a manager, a fuzzy deductive system has been designed at three levels. Sensivity analysis and limit analysis were used to measure the validity of the model. Finally, the designed model has been implemented in the area of research.