FUZZY AND LINEAR COMPUTATIONAL MODELS FOR PERFORMANCE EVALUATION

Abstract

This paper discusses the complexity of the development of linear and non-linear computational models, the latter based on fuzzy logic, for work performance evaluation. We develop and test, through simulation, a set of models that consider the performance of team members or teams in achieving organizational goals. As input, we have financial indicators, indicators of customer satisfaction, of learning and of capacity for accepting criticism. As output, a degree of the reward for the performance that was achieved. From the point of view of evaluation and output, both linear models and fuzzy models prove to be adequate. Nevertheless, from the point of view of the development of such models, which presupposes an interdisciplinary approach, non-linear models based on fuzzy logic prove to be more adequate.