Performance analysis of researchers using compensatory fuzzy logic

In this paper, a proposal for extending the fuzzy logic framework to researcher’s performance evaluation using the good properties of robustness and interpretability of compensatory fuzzy logic is presented. Results obtained with our model are more consistent with the way human make decisions. Additionally a case study to illustrate the applicability of the proposal is developed. Our main outcome is a new researcher’s evaluation based on compensatory fuzzy logic that gives results that are more robust and allows compensation. Moreover, this approach makes emphasis in using language in line with the computing with words paradigm.