Utilización de la lógica borrosa en la selección de personas e ideas para la participación en programas públicos de ayuda a la creación de empresas

Abstract

In this paper we propose a fuzzy control model that can help to choose and filter the application for grants in business start-up programs run by public institutions. We think that using fuzzy logic has advantages over regu-lar procedures since we move into a complex and vague stage of performance. Fuzzy control introduces expert knowledge in a very natural way, it uses linguistic variables and inference processes that are characteristic of ordinary language, which facilitates decision-making in complex situations. Our model considers on the one hand the business idea and on the other the person as entrepreneur. Indicators and criteria that experts consider rel-evant to the evaluation of the grant are modeled as linguistic variables and treated as antecedent and consequent of a fuzzy inference engine, whose output provides the final assessment of the application. At the end of our paper we solve a simple case study to clarify the procedure.