Hybrid Decision Support System based on DEMATEL and Fuzzy Cognitive Maps

In the last decade, increasing interest has been paid to human factor for systems analysis and decision-making process. In particular, researchers have directed their attention to the human reasoning understanding and the individual perception of a specific problem. Several applications allow users to model decision-making support system starting from the experts' knowledge and judgments. This paper examines two specific approaches such as Decision Making Trial & Evaluation Laboratory and Fuzzy Cognitive Maps; it points out on their similarity and differences, with the aim to propose a hybrid modelling decision support system. This is the first time of proposing this approach, and the receiving outcomes are promising that the considered approaches can be used jointly showing the ability to model dynamical behaviour and create an advanced decision support system. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.