Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
MULTI-CRITERIA DECISION MAKING SYSTEMS |
Contents |
IDENTIFYING DATA | 2016_17 |
Subject | MULTI-CRITERIA DECISION MAKING SYSTEMS | Code | 17685108 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Compulsory | First | 2Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Topic | Sub-topic |
1. Introduction to Multiple Criteria Decision Analysis (MCDA) | |
2. Preference modelling | 2.1 Variables and criteria 2.2 User profile with numerical data 2.3. User profile with categorical data |
3. The Multi-Attribute Utility Theory | 3.1 Basic concepts 3.2 Aggregation operators for numerical and linguistic criteria |
4. Outranking methods for pairwise preference relation | 4.1 Basic concepts 4.2 ELECTRE method |
5. Advanced techniques of MCDA using AI |