Multicriteria Decision Aiding

Code:

PDEEC0069

Acronym:

AMD

Keywords
Classification	Keyword
OFICIAL	Electrical and Computer Engineering

Instance: 2024/2025 - 1S

Active?	Yes
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Doctoral Program in Electrical and Computer Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDEEC	1	Syllabus	1	-	6	42	162

Teaching language

English

Objectives

To familiarize students with knowledge and tools to participate in decision processes or research projects involving multiple evaluation criteria, either as decision makers or decision process consultants.

Learning outcomes and competences

Students should be able to:

- Know the different stages of a decision process and the information to be gathered and organized.

- Enunciate and avoid common errors in decision making processes, avoiding simplistic approaches and sustaining the advantages of formal decision aiding methodologies.

- Take part in decision processes, either as a decision maker or as a consultant, by building appropriate models to ponder multiple economic, social, and environmental criteria and involving the different stakeholders.

- Recognize the diversity of decision aiding methodologies, each one with its advantages and disadvantages, being able of to sustain that some are more adequate than others.

 

These learning outcomes contribute to develop several generic skills, namely those of critical reasoning, analysis and synthesis, problem solving, information interpretation and management, and group interaction.

Working method

Presencial

Program

Fundamentals

- Decision aiding and multicriteria decision aiding

- Structuring an MCDA model

- Aggregation methods

Connected topics

- robustness analysis, stochastic analysis

- preference disaggregation

- MCDA in group decision and negotiation

- Multiobjective programming

- Data envelopment analysis

Mandatory literature

Valerie Belton, Theodor J. Stewart; Multiple criteria decision analysis. ISBN: 0-7923-7505-X
Alessio ISHIZAKA; Philippe NEMERY ; Multi-Criteria Decision Analysis : Methods and software, 2013
Salvatore GRECO; José FIGUEIRA; Matthias EHRGOTT (Eds); Multiple criteria decision analysis, Springer, 2016

Complementary Bibliography

DIAS, Luís M. C.; Avaliação Multicritério em Processos de Decisão, Imprensa da Universidade de Coimbra, 2022
Ralph L. Keeney; Value-focused thinking. ISBN: 0-674-93198-X
Ralph L. Keeney, Howard Raiffa ; with a contribution by Richard F. Meyer; Decisions with multiple objectives. ISBN: 0-471-46510-0
Evangelos Triantaphyllou; Multi-criteria decision making methods. ISBN: 0-7923-6607-7
Bernard Roy; Méthodologie multicritère d.aide à la décision. ISBN: 2-7178-0901-5
Bernard Roy, Denis Bouyssou; Aide multicritère à la décision. ISBN: 2-7178-2473-1
João Namorado Clímaco, Carlos Henggeler Antunes, Maria João Gomes Alves; Programação linear multiobjectivo. ISBN: 972-8704-13-5
Matos, Manuel António Cerqueira da Costa; Ajuda à Decisão Multicritério

Teaching methods and learning activities

Classroom interaction:

- Presentation of the themes promoting debate (student-student and student-teacher).

- Solving of cases that illustrate the practical relevance of the themes and different decision aiding strategies.

- Role-playing.

Guided autonomous work:

- Literature review

- Case study

keywords

Physical sciences > Mathematics > Applied mathematics > Operations research

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	90,00
Frequência das aulas	39,00
Trabalho laboratorial	73,50
Total:	202,50

Eligibility for exams

N/A

Calculation formula of final grade

Assignment, 100%