Abstract
The rapid adoption of artificial intelligence in automating human-centred tasks has accentuated the importance of interpretable decisions. The Belief-Rule-Base (BRB) is a hybrid expert system that can accommodate human knowledge and capture nonlinear causal relationships as well as uncertainty. This paper presents the strategy to interpret BRB locally for a single instance to understand the decision-making process by the importance of activated rules and attributes and globally to understand most important rules and attributes in an entire rule base.
Original language | English |
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Title of host publication | Proceedings of FLINS2020 |
Publisher | World Scientific Publishing Co |
DOIs | |
Publication status | Published - 8 Mar 2020 |
Event | The 14th International Conference on Robotics and Artificial Intelligence - Cologne, Germany Duration: 30 Sep 2020 → 3 Oct 2020 https://www.hrm-bildung.de/flins2020/ |
Conference
Conference | The 14th International Conference on Robotics and Artificial Intelligence |
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Abbreviated title | FLINS 2020 |
Country/Territory | Germany |
City | Cologne |
Period | 30/09/20 → 3/10/20 |
Internet address |
Keywords
- Interpretability
- Decision
- Rule base