Code
01N04819
Duration
01 January 2019 → 31 December 2025
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
-
Natural sciences
- Computer science
- Machine learning and decision making
- Performance modelling
- Distributed systems
- Human information behaviour
- Data models
- Software engineering
- Mathematical software
- Analysis of algorithms and complexity
- Computer-aided design
- Other information and computing sciences not elsewhere classified
-
Social sciences
- Artificial intelligence
Keywords
Uncertainty
decision making
choice functions
classification
Project description
This project aims to develop a mathematical framework for rational decision making under uncertainty, and to design reliable classification methods with it. One of its key features is that it does away with the traditional yet unrealistic assumption that there is always an optimal choice.
Instead, we allow for indecision by using choice functions, and use this to our advantage.