Decision-Aid Methodologies

Code:

EEC0130

Acronym:

MAD

Instance: 2007/2008 - 2S

Active?	Yes
Responsible unit:	Fundamental Sciences and Electrotechnics
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEEC	0	Plano de estudos de transição para 2006/07	4	6	6	-
MIEEC	10	Plano para bachareis que em 06 estiveram no 5º ano	4	-	6	-
		Plano para alunos que em 2006 estiveram no 3º ano	4	-	6	-
		Plano para alunos que em 2006 estiveram no 5º ano	3	-	6	-
			4
		Plano para alunos que em 2006 estiveram no 4º ano	3	-	6	-
			4
		Plano para bachareis que em 06 estiveram no 4º ano	4	-	6	-

Teaching language

Portuguese

Objectives

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.

Program

Multicriteria decision problems. The preference structure of the Decision Maker. Methods for multiobjective and multiattribute problems. Methods to deal with uncertainty. Classic Decision Theory: value functions and utility theory. The French School. Setting up evaluation methodologies for public tenders and applying them. Fuzzy models for decision problems.

Mandatory literature

Clemen, Robert T.; Making hard decisions with decision tools. ISBN: 0-534-36597-3
Manuel Matos; Notas sobre Ajuda à Decisão Multicritério

Complementary Bibliography

Matos, Manuel António Cerqueira da Costa; Ajuda à decisão Multicritério
Roy, Bernard; Aide multicritère à la décision. ISBN: 2-7178-2473-1
Roy, Bernard; Méthodologie multicritère d.aide à la décision. ISBN: 2-7178-0901-5
Clímaco, João Namorado; Programação linear multiobjectivo. ISBN: 972-8704-13-5

Teaching methods and learning activities

Lectures, case study discussion, use of software applications and assignments.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	56,00
Assignment	Trabalho escrito	40,00
Exam	Exame	3,00
Discussion of the assignments	Exame	1,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Autonomous work	Estudo autónomo	60
	Total:	60,00

Eligibility for exams

Successful completion of the assignments.

Calculation formula of final grade

50% Assignments + 50% Exam.
Minimum of 40% in each component.

Special assessment (TE, DA, ...)

All the students must complete the assignments.

Classification improvement

A second opportunity for the exam is available.
Distributed evaluation cannot by its nature be improved.