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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.
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.