Decision Support Systems

This course is designed to introduce the student to the principles, techniques and tools for modelling and solving decision making problems. The course highlighted and documented, by using the necessary rigor and instructive examples, all the major modern techniques and methodologies used at international level, incorporating certainty or uncertainty, such as ELECTRE and PROMETHEE methods, multicriteria value/utility theory . It provides insight into methods of quantitative and qualitative analysis for the effective handling of "real world" decision problems. Also it explains the principles of the theory of multicriteria analysis and its role in the Decision Support process. The course aims to equip students with a comprehensive understanding of the scientific approach to decision making, to understand the role of science in exercise effective management, but also the art of applying the theory in practice.


Upon successful completion of this course the student will be able to: • Understand the process of modelling a problem and the process of making a decision based on one or more criteria • Combine decision-making methods in the presence of conditions leading to known or/and unknown (probabilistic) outcome and how to use these methods • Apply the decision-making techniques in group decision making • Exploit the use of specific software to support multicriteria decision making to operational problems • Define the process of applying innovative approaches and relevant knowledge to investigate problems , evaluate alternative actions, and making suggestions • Understand the design and development of Decision Support Systems


Background Lesson


The course consists of the following sections: An Anatomy of Decisions Reporting problems Methodology Modeling Solving Decision Modeling Problem Reporting Basic Concepts of Multicriteria Analysis Functionally Decision Models Relational Decision Models - Part I Relational Decision Models - Part II






Instructors: Dionisios Giannakopoulos
Department: Department of Business and Administration
Institution: TEI of Piraeus
Subject: Economics and Business Administration
Rights: CC - Attribution-NonCommercial-NoDerivatives

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