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Project
Rational decision making under uncertainty: a new paradigm based on choice functions.
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.
Date:1 Jan 2019 → Today
Keywords:Uncertainty, choice functions, decision making, classification
Disciplines:Other information and computing sciences not elsewhere classified, Human information behaviour, Mathematical software, Data models, Computer-aided design, Distributed systems, Machine learning and decision making, Software engineering, Analysis of algorithms and complexity, Computer science, Performance modelling, Artificial intelligence