A new consensus model for group decision making using fuzzy linguistic preference relations with heterogeneous experts

摘要: Group decision making (GDM) problems consist of finding the most acceptable solution based on a group experts' preferences. Sometimes, experts experience difficulty expressing their preferences using crisp values or comparisons between each pair alternatives. Meanwhile, because different backgrounds knowledge concerning specific problem, opinions may carry weights along process. Thus, new consensus model is proposed to solve these problems. First, are required express fuzzy linguistic preference relations, and then, method for classifying into three importance levels according opinions. Then, consistency measures proximity used guide decision-making A feedback mechanism that generates advice proposed. The degrees taken consideration throughout process, which one main novelties this model. Finally, numerical example conducted illustrate utilization compared results also presented check feasibility