DECISION THEORY AND MULTI-CRITERIA ANALYSIS

Academic year
2019/2020 Syllabus of previous years
Official course title
DECISION THEORY AND MULTI-CRITERIA ANALYSIS
Course code
PHD067 (AF:324776 AR:174908)
Modality
On campus classes
ECTS credits
6
Degree level
Master di Secondo Livello (DM270)
Educational sector code
SECS-S/06
Period
2nd Semester
Course year
1
Where
VENEZIA
Elements of multicriteria decision analysis and decision theory
1. Knowledge and understanding:
1.1. undestanding the concept of multidimensionality
1.2. interpreting coherently decional problems
1.3. comprhending basic concepts of Decision Theory

2. Applying knowledge and understanding:
2.1. to use more important MCDA methods
2.2. modeling decision problems
2.3. applying decisional algorithms

3. making judgements:
3.1. to interpret decision problems
3.2. to understand decision making methods
3.3. to reflect on limits ad capabilities of a quantitative approach to decison making
Even if no necessary pre-requirement is necessary for the course, it is advisable that the Student is confident with basic elements of calculus, linear algebra and probability theory
Multicriteria Decision Analysis. Value Functione. Normalization. Methods WA, AHP,,OWA, Non additive measures. Linear programming. Elements of fuzzy logic. Elements of outranking methods.
Decision under uncertainty. Cecision trees. Bayes theorem and application. Elements of data mining
Material will be furnisghed during the course.
Tests durring the course. Student's presentations. Final exam (if necessary).
Traditional (slides). Student's presentations
English
written

This subject deals with topics related to the macro-area "Climate change and energy" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development

Goal 7: affordable and clean energy
Goal 13: climate action
Definitive programme.