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

Fátima Dargam

Jorge E. Hernández

This book contains extended and revised versions of a set of selected papers from two events organized by the Euro Working Group on Decision Support Systems (EWG-DSS), which were held in Toulouse, France and Barcelona, Spain, in June and July 2014. Overall, 8 papers were accepted for publication in this edition after a rigorous review process through at least three internationally known experts from the EWG-DSS Program Committee and external invited reviewers. The selected papers focus on knowledge management and sharing, and on information models developed to support various decision processes.

Euro Working Group Conferences, EWG-DSS 2014, Toulouse, France, June 10-13, 2014, and Barcelona, Spain, July 13-18, 2014, Revised Selected and Extended Papers

Decision Support Systems IV - Information and Knowledge Management in Decision Processes

Boris Delibašić 

Festus Oderanti

DSS Addressing Sustainability and Societal Challenges

Proceedings of the 2nd EWG-DSS International Conference on Decision Support System Technology - ICDSST 2016

Fatima Dargam

Alberto Turón

Uchita Jayawickrama

Proceedings of the 6th International Conference on Decision Support System Technology – ICDSST 2020 on Cognitive Decision Support Systems & Technologies

Pavlos Delias

This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

4th International Conference, ICDSST 2018, Heraklion, Greece, May 22–25, 2018, Proceedings

Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Panagiota Digkoglou

George Tsaples

Sustainable Data-Driven & Evidence-based Decision Support with applications to the Environment and Energy sector

Proceedings of the 4th International Conference on Decision Support System Technology – ICDSST 2018 & PROMETHEE DAYS 2018

Nikolaos Ploskas

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

Isabelle Linden

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