Decision support systems (DSS)
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Date
2025
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University of Oum El Bouaghi
Abstract
Decision Support Systems (DSS) have become essential tools in modern organizations, helping decision-makers analyze complex problems, evaluate multiple alternatives, and improve overall efficiency. This Course Handbook provides a structured approach to understanding the key principles, methodologies, and applications of DSS.
The handbook begins with an introduction to decision-making processes, highlighting the different types of decisions and the conditions under which they are made. It explores various decision theories, from normative to descriptive and prescriptive models, providing a theoretical foundation for effective decision-making.
A significant focus is placed on Decision Analysis under Risk and Uncertainty, where techniques such as decision trees, expected value calculations, and utility theory are discussed. The handbook also delves into Multi-Criteria Decision-Making (MCDM) approaches, emphasizing both single-criteria and multi-criteria models, including outranking methods like ELECTRE and PROMETHEE.
Furthermore, essential mathematical techniques such as normalization, weight assessment, and data transformation are introduced to help structure and quantify decision problems. Throughout the course, practical examples and real-world applications illustrate how DSS methodologies can be applied to business, engineering, healthcare, and other domains.
By the end of this handbook, students will have a comprehensive understanding of DSS principles, enabling them to develop, analyze, and implement decision support models effectively.
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Keywords
Decision making ; Decision processes ; Decision analysis elements; Decision under risk; Multicriteria methods