Managing multi-criteria group decision making environments with high number of alternatives using fuzzy ontologies

Abstract

The high amount of information that modern multi-criteria group decision making environments must handle requires the development of novel methods. These methods should be able to work with high amounts of alternatives while providing the experts a comfortable framework that they can use to carry out this complex decisions. In this paper, a novel method that tries to solve this issue is presented. Our method makes use of fuzzy ontologies in order to allow the experts to focus on what is more important: the weight that should be given to each criteria. This way, they do deal directly with the high amount of alternatives. Experts decide the importance of each criteria and the alternatives ranking is calculated automatically using the fuzzy ontology.