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ORCIDICDSST 2021: Loughborough, UK
- Uchitha Jayawickrama
, Pavlos Delias, María Teresa Escobar, Jason Papathanasiou:
Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management - 7th International Conference on Decision Support System Technology, ICDSST 2021, Loughborough, UK, May 26-28, 2021, Proceedings. Lecture Notes in Business Information Processing 414, Springer 2021, ISBN 978-3-030-73975-1
Multiple Criteria Approaches
- He Huang, Koen Mommens, Philippe Lebeau, Cathy Macharis:
The Multi-Actor Multi-Criteria Analysis (MAMCA) for Mass-Participation Decision Making. 3-17 - Lucia Reis Peixoto Roselli, Adiel Teixeira de Almeida:
Using FITradeoff Method for Supply Selection with Decomposition and Holistic Evaluations for Preference Modelling. 18-29 - Adem Kikaj, Marko Bohanec:
DEX2Web - A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX. 30-43 - Anton Stipec, Biljana Mileva-Boshkoska:
Comparison of AHP, PAPRICA, PROMETHEE, DEX and TOPSIS on an Application for Employee Selection. 44-54 - Georg Wieland, Herwig Zeiner:
A Survey on Criteria for Smart Home Systems with Integration into the Analytic Hierarchy Process. 55-66
Advances in Decision Support Systems' Technologies and Methods
- Jinyi Liu, Patrick Stacey:
Modelling the Effects of Lockdown and Social Distancing in the Management of the Global Coronavirus Crisis - Why the UK Tier System Failed. 69-83 - Kristina Eriksson, Ted Hendberg:
A Case Study Initiating Discrete Event Simulation as a Tool for Decision Making in I4.0 Manufacturing. 84-96 - Alexander V. Smirnov, Tatiana Levashova, Andrew Ponomarev, Nikolay Shilov:
Methodology for Multi-aspect Ontology Development - Use Case of DSS Based on Human-Machine Collective Intelligence. 97-109 - Sanja Rancic, Sandro Radovanovic, Boris Delibasic:
Investigating Oversampling Techniques for Fair Machine Learning Models. 110-123 - Ulrike Dowie, Ralph Grothmann:
Using AI to Advance Factory Planning: A Case Study to Identify Success Factors of Implementing an AI-Based Demand Planning Solution. 124-134
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