In multi-criteria decision-making processes, a set of criteria that can act independently or have some kind of relation between them are considered. When this latter appears, the process cannot be a simple problem due to complexity to model such synergy relations. To deal with these issues, a Choquet integral based method has been developed to determine the most appropriate ranking of alternatives. Therefore, a fuzzy measure that models considerations of an expert in the problem domain must be identified. The proposed model is a novel and efficient algorithm for determining a non-additive fuzzy measure guided by linguistic attributes. Finally, an illustrative example and a comparison with other aggregation operators is presented.
['Rubén Bernal', 'Marcelo Karanik', 'Jose Ignacio Pelaez', 'Estela del Rocio Yanez Benavides']
Discrete Choquet integral based method for criteria synergy determination