| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| MULTI-CRITERIA DECISION MAKING SYSTEMS |
| Contents |
| IDENTIFYING DATA | 2019_20 |
| 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 |
