Global and local interpretability of belief rule base
Swati Sachan, Jian Yang, Dong‐Ling Xu · Developments of Artificial Intelligence Technologies in Computation and Robotics · 2020
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.