| Educational guide School of Engineering |
english |
| Computer Engineering: Computer Security and Intelligent Systems (2013) |
 Subjects |
| MULTI-CRITERIA DECISION SUPPORT SYSTEMS |
 
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| IDENTIFYING DATA | 2015_16 | |||||||||||||||||
| Subject (*) | MULTI-CRITERIA DECISION SUPPORT SYSTEMS | Code | 17665210 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Optional | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Enginyeria Informàtica i Matemàtiques |
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| Coordinator |
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aida.valls@urv.cat |
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| Lecturers |
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| 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). | |||||||||||||||||
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| (*)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. | ||||||||||||||||||
