Optimal strategy of switching reasoning methods in fuzzy control

Fuzzy control is a methodology that transforms control rules (described by an expert in words of a natural language) into a precise control strategy. There exist several versions of this transformation. The main difference between these versions is in how they interpret logical connectives “and” and “or”, i.e., in other words, what reasoning method a version uses. Which of these versions should we choose? It turns out that on different stages of control, different reasoning methods lead to better control results. Therefore, a natural idea is not to fix a reasoning method once and forever, but to switch between different reasoning methods. In this chapter, we describe the optimal choice of the reasoning methods between which we switch.

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