A Multicriteria Linguistic Decision Making Model dealing with Comparative Terms Rosa M. Rodr´ ıguez, Luis Mart´ ınez and Francisco Herrera Abstract In this contribution our aim is to present a multicriteria linguistic decision making model in which experts might provide their assessments by using linguistic expressions based on comparative terms close to the expressions used by human beings in real world problems or single linguistic terms. To aggregate such a type of linguistic information two symbolic aggregation operators are introduced. Finally, an exploitation phase is proposed to build a preference relation among alternatives and then, a non-dominance choice degree is applied to obtain the solution set of alternatives. Key words: Linguistic decision making, hesitant fuzzy set, symbolic aggregation, linguistic expressions 1 Introduction Decision Making is a common task for human beings in their daily lives and be- comes a core research area in different fields such as planning, scheduling, engi- neering, medicine and so on. Decision problems are usually defined under context with imprecise, vague and uncertain information. Different approaches have been proposed to deal with such an uncertainty. One of them is the fuzzy linguistic ap- proach [19] that has provided successful results on decision making problems under uncertainty [6, 9]. Rosa M. Rodr´ ıguez Dept. of Computer Science, University of Ja´ en, 23071 - Ja´ en, Spain, e-mail: rmrodrig@ujaen.es Luis Mart´ ınez Dept. of Computer Science, University of Ja´ en, 23071 - Ja´ en, Spain, e-mail: martin@ujaen.es Francisco Herrera Dept. of Computer Science, University of Granada, 18071 - Granada, Spain, e-mail: her- rera@decsai.ugr.es 1