Employees’ Satisfaction Assessment Based on Fuzzy Logic: A case study of Bandar Abbas Oil Refining Company

Employees satisfaction is a pre-condition for increasing productivity and attention to it is a success factor for excellent organizations. This paper presents a new approach for employees satisfaction assessment (ESA) based on fuzzy logic. In the process of ESA there is an element of vagueness or fuzziness associated with inputs that they are language terms. Also, it can be helpful for management having a model to prioritize dissatisfaction key factors according to satisfaction level and weight factors, simultaneously. A fuzzy expert system to deal with this problem is obtained from this research. The suggested model is coded in c-sharp language and implemented in Bandar abbas Oil Refining Company. Experimental results show the increased accuracy, optimize time consuming and better resource concentration in direct of removing dissatisfaction key factors.