Applied intelligent systems: blending fuzzy logic with conventional control

The aim of this paper is to show that design of applied intelligent control systems requires different types of blending between fuzzy logic and conventional control systems. Two alternative automotive applications – a manufacturing process control problem and an advisory system for fuel efficient driving – that benefit from both fuzzy and control theories are reviewed and different levels of prioritisations of both approaches are discussed based on the specificity of the applications.

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