A Decision Making Model Based on Dempster-Shafer Theory and Linguistic Hybrid Aggregation Operators

The solving processes for decision making problems based on the use of the Dempster-Shafer (D-S) theory can be accomplished in different ways according to the necessities of each single problem. In this contribution we present a decision making scheme based on the D-S defined in a linguistic framework and then, we propose the use of an hybrid averaging operator (2-THA) that use the 2-tuple linguistic representation model. By using the 2-THA in D-S theory, we obtain a new aggregation operator: the belief structure-2-THA (BS-2-THA) operator. We study some of its main properties and then show an illustrative example of the new approach in a decision making problem.