2019_20
Educational guide 
School of Engineering
A A 
english 
Computer Security Engineering and Artificial Intelligence (2016)
 Subjects
  MULTI-CRITERIA DECISION MAKING SYSTEMS
IDENTIFYING DATA 2019_20
Subject (*) MULTI-CRITERIA DECISION MAKING SYSTEMS Code 17685108
Study programme
Computer Security Engineering and Artificial Intelligence (2016)
Cycle 2nd
Descriptors Credits Type Year Period Exam timetables and dates
4.5 Compulsory First 2Q
Modality and teaching language See working groups
Prerequisites
Department Computer Engineering and Mathematics
Coordinator
VALLS MATEU, AÏDA
E-mail aida.valls@urv.cat
najlaamaaroofwahib.al-ziyadi@urv.cat
Lecturers
VALLS MATEU, AÏDA
AL-ZIYADI , NAJLAA MAAROOF WAHIB
Web
General description and relevant information 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).
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.