Designing a Fuzzy Expert System to Predict the Effectiveness of Compensation System

Focusing on the diversity of human capital in organizations and its possible role in the effectiveness of the compensation system, the purpose of this study was to predict the effectiveness of the compensation system for various types of human capital in Police Force of Qazvin Province.

The present research is descriptive, and it is applied in terms of purpose. The statistical population of the study includes 53 senior, middle, and operational managers of Qazvin Police Force, of which it was possible to access the opinions of 46 of them. The assessment tool was a questionnaire. In order to analyze the data, network analysis methods and fuzzy inference system were used.

According to the results, the effectiveness of the service compensation system varies according to its types of human capital. Priority of the elements of compensation for core human capital included perquisites, rewards, salaries, benefits, welfare services, awards; for idiosyncratic human capital: salaries, benefits, perquisites, rewards, welfare services, awards; for compulsory human capital: salaries, benefits, welfare services, rewards, awards, perquisites; for ancillary human capital: benefits, rewards, salaries, welfare services, awards, perquisites respectively. Also, the evaluation of the model in the police force suggested that the most observed effectiveness belongs to compulsory human capital.

The most important achievement of this article is designing an effective compensation system in the Police Force, which will dynamically determine the amount of output based to the amount of inputs. This model can be used to predict the effectiveness of the service compensation system.