Jason Papathanasiou

Shaofeng Liu

Isabelle Linden

Bertrand Mareschal

Christian Colot

This Proceedings presents the short papers, posters and abstracts of full papers accepted to the 3rd International Conference on Decision Support System Technology, ICDSST 2017, held in Namur, Belgium, during May 29th to 31st, 2017. This event had a main theme Data, Information and Knowledge Visualisation in Decision Making. This event is organized by the Euro Working Group on Decision Support Systems (EWG-DSS) in collaboration with the University of Namur Belgium, the EFFaTA Research Team of the University of Namur and the Université libre de Bruxelles, Belgium.

Data, Information and Knowledge Visualisation in Decision Making

Proceedings of the 3rd International Conference on Decision Support System Technology 2017

Maria Paraskeva Belioka

Panagiota Dikoglou

Dimitrios Zopounidis

Proceedings of the 8th International Conference on Decision Support System Technology – ICDSST 2022 on Decision Support addressing modern Industry, Business and Societal needs

Athanasios Migdalas

Angelo Sifaleras

Christos K Georgiadis

Emmanouil Stiakakis

These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011. BALCOR is an established biennial conference attended by a large number of faculty, researchers and students from the Balkan countries but also from other European and Mediterranean countries as well. Over the past decade, the BALCOR conference has facilitated the exchange of scientific and technical information on the subject of Operations Research and related fields such as Mathematical Programming, Game Theory, Multiple Criteria Decision Analysis, Information Systems, Data Mining and more, in order to promote international scientific cooperation. The carefully selected and refereed papers present important recent developments and modern applications and will serve as excellent reference for students, researchers and practitioners in these disciplines. ​

Proceedings of the 1st International Symposium and 10th Balkan Conference on Operational Research

Optimization Theory, Decision Making, and Operations Research Applications

Nikolaos Ploskas

Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France)

Methods, Examples and Python Implementations

Multiple Criteria Decision Aid

This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.

Case Studies

Real-World Decision Support Systems

Paulo Sérgio Abreu Freitas

Fátima Dargam

Rita Ribeiro

José Maria Moreno Jimenez

Decision Support Systems: Main Developments & Future Trends

Proceedings of the 5th International Conference on Decision Support System Technology – ICDSST 2019 & EURO Mini Conference 2019

Jason Papathanasiou

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