The information published in this guide corresponds to face-to-face classes and can serve as a guide. Due to the health emergency caused by COVID-19 there may be changes in teaching, assessment and calendars for the 2020-21 academic year. These changes will be reported in the Moodle space of each subject.

GENERAL DESCRIPTION OF THE SUBJECT:The student will be introduced to the research area of Multicriteria Decision Aid (MCDA). The course covers three main issues: (1) Preference structures for representing the interests of the decision maker. Special attention will be paid to the use of non-numerical information, such as linguistic variables, fuzzy sets or ontologies. (2) Exploitation techniques of the user information to solve the decision problem. The two main approaches to MCDA will be studied: Multiattribute Utility Theory and Outranking Relations. At the end of the course, the student will have to know the theory, properties, advantages and drawbacks of those methods. (3) Use of MCDA techniques in combination with other fields (f.i. Geographical Information Systems, Recommender Systems).