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Multicriteria Decision Aiding

Code: PDEEC0069     Acronym: AMD

Keywords
Classification Keyword
OFICIAL Electrical and Computer Engineering

Instance: 2019/2020 - 1S

Active? Yes
Responsible unit: Department of Electrical and Computer Engineering
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 2 Syllabus since 2015/16 1 - 7,5 70 202,5

Teaching Staff - Responsibilities

Teacher Responsibility
Manuel António Cerqueira da Costa Matos

Teaching - Hours

Recitations: 3,00
Type Teacher Classes Hour
Recitations Totals 1 3,00
Manuel António Cerqueira da Costa Matos 3,00

Teaching language

English

Objectives

To enable the students to cope with the main issues related to multicriteria decison-aid, including uncertainty aspects.

Learning outcomes and competences

Students should be able to: - Discuss the decision-aid problematic in problems with multiple criteria and uncertainty. - Use formal models to represent decision situations - Choose and apply systematic decision-aid methodologies, including using software tools and interaction with the decision maker. - Set up evaluation methodologies for public tenders.

Working method

Presencial

Program

- Multicriteria decision-aid. Concepts and terminology. The role of the Decision Maker. Preference modeling. - Multiattribute problems. Trade-off techniques, value functions and the French/European School. Setting up evaluation methodologies for public tenders and applying them. Sorting problems. - Data envelopment analysis (DEA). - Multiobjective problems. Techniques for generating nondominated alternatives. Interactive methods. - Uncertainty and Risk. Decision trees. Decision paradigms. Utility theory. Robust approaches. Methodologies based on multiple risk and opportunity indices. - Analysis of case studies.

Mandatory literature

Robert T. Clemen, Terence Reilly; Making hard decisions with decision tools. ISBN: 0-534-36597-3
Denis Bouyssou... [et al.]; Evaluation and decision models. ISBN: 0-7923-7250-6
Valerie Belton, Theodor J. Stewart; Multiple criteria decision analysis. ISBN: 0-7923-7505-X

Complementary Bibliography

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, Denis Bouyssou; Aide multicritère à la décision. ISBN: 2-7178-2473-1
Bernard Roy; Méthodologie multicritère d.aide à la décision. ISBN: 2-7178-0901-5
João Namorado Clímaco, Carlos Henggeler Antunes, Maria João Gomes Alves; Programação linear multiobjectivo. ISBN: 972-8704-13-5
Manuel António Cerqueira da Costa Matos; Ajuda à decisão multicritério

Teaching methods and learning activities

The course will be organized around lectures, complemented by students’ autonomous work, which will be organized around group assignments around case studies and small problems. A strong interaction and participation of students, leading to a real active learning environment, will be sought in the lectures, by resorting to differentiated learning strategies. Evaluation will be based on the discussion of case studies and a final exam.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 40,00
Participação presencial 0,00
Trabalho escrito 60,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 70,00
Frequência das aulas 39,00
Trabalho laboratorial 53,00
Total: 162,00

Eligibility for exams

No special conditions

Calculation formula of final grade

Assignments, 60% Exam, 40% (Minimum of 8/20 in both components)

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