Uncertain Decision Making with Dempster-Shafer Theory

José M. Merigó, Montserrat Casanovas

We develop a new approach for decision making with Dempster-Shafer theory of evidence by using uncertain information represented in the form of interval numbers. We suggest the use of different types of uncertain aggregation operators in the problem. Then, we obtain new aggregation operators such as the belief structure - uncertain ordered weighted averaging (BSUOWA) operator and the BS - uncertain hybrid averaging (BS-UHA) operator, among others. Some of their main properties are studied such as the distinction between descending and ascending orders and the analysis of different particular cases.

PDF full paper