Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management
Springer International Publishing (Verlag)
978-3-030-73975-1 (ISBN)
The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is 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.
The main aim of this year's conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery.
The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems' technologies and methods.
Multiple Criteria Approaches.- The Multi-Actor Multi-Criteria Analysis (MAMCA) for Mass-Participation Decision Making.- Using FITradeoff Method for supply selection with decomposition and holistic evaluations for Preference Modelling.- DEX2Web - A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX.- Comparison of AHP, PAPRICA, PROMETHEE, DEX and TOPSIS on an application for employee selection.- A Survey on Criteria for Smart Home Systems with Integration into the Analytic Hierarchy Process.- Advances in Decision Support Systems' technologies and methods.- Modelling the Effects of Lockdown and Social Distancing in the Management of the Global Coronavirus Crisis - Why the UK Tier System Failed.- A case study initiating discrete event simulation as a tool for decision making in I4.0 manufacturing.- Methodology for Multi-Aspect Ontologies Development: Use Case of DSS Based on Human-Machine Collective Intelligence.- Investigating oversampling techniques for fair machine learning models.- Using AI to Advance Factory Planning: A Case Study to Identify Success Factors of Implementing an AI-Based Demand Planning Solution.
| Erscheinungsdatum | 12.04.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Business Information Processing |
| Zusatzinfo | XIV, 135 p. 53 illus., 45 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 244 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Betriebswirtschaft / Management | |
| Schlagworte | Artificial Intelligence Methods • data analytics • Decision Support Systems • group decision making • Operations Research |
| ISBN-10 | 3-030-73975-9 / 3030739759 |
| ISBN-13 | 978-3-030-73975-1 / 9783030739751 |
| Zustand | Neuware |
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