Team performance assessment within fuzzy logic

Human factor is considered as a key of the improvement of industrial system performance. Till now, individual performance assessment has been widely explored to match individual's competencies to tasks or jobs to be performed. The development of fuzzy logic and its models (MADM, TOPSIS, AHP...) that takes into consideration uncertainty and imprecision, makes it much used to assess and allocate human resources according to defined criteria in different fields. However, team evaluation and assessment received much less attention. In this paper, an application of the fuzzy logic is proposed to predict team performance according to fuzzy inference models. As a novelty in this study, we estimate that a teamwork performance is to be likely assimilated to a fuzzy system attitude. A modelization of team work processes is presented and projected to the fuzzy inference system. This assessment methodology will constitute a basis for a decision support tool for resource allocation in team work jobs.