42027 - Multicriteria Decision Aid System (SAD) [URV]

Type: S3 course
Semester: Spring
ECTS: 4.5
Teaching Points:
Offer: Annual
Responsible Unit: URV
Responsible: Aïda Valls
Language: English
Requirements:

GOALS

The student will be introduced to the research area of Multicriteria Decision Aid (MCDA). The main characteristics of this type of decision problems is that they must consider many preference criteria simultaneously. The student will have to model the criteria using different types of preference representation. The two main approaches to MCDA will be studied: Multiattribute Utility Theory and Outranking Relations. At the end of the cours, the student will have to know the theory, properties, advantages and drawbacks of those methods. Different free software will be used to practise.

CONTENTS

1. Introduction

The decision making goals
How to model a decision making problem with multiple criteria

2. Types of preference data

Numerical
Categorical
Uncertainty

3. The Multiattribute Utility Theory

Introducction
Stages: rating and ranking
Aggregation operators. Properties
TOMASO
ClusDM

4. Outranking methods

Introduction
Outranking relations
ELECTRE
PROMETHEE

5. Brief introduction to other approaches