Transparent Fuzzy Systems and Modelling with Transparency Protection

Abstract Fuzzy systems have gained enormous popularity in numerous applications capable of handling uncertainty and complexity of the real world in contrast to conventional techniques. It is the dual nature of fuzzy systems that makes them attractive for modelling and control purposes - in addition to good approximation chat makes them attractive for modelling and control purposes - in addition to good approximation capabilities, the information saved into the fuzzy system can be processed in linguistic terms, much similar to human reasoning. Interpretability that derives from the use of linguistic rulebase is, however, interconnected with the transparency of the fuzzy system, and the latter not being the default property of fuzzy systems, is often ignored by the developers. This paper defines the transparency conditions for standard fuzzy systems and describes the techniques available for obtaining transparent fuzzy systems from experimental data along with examples and comments.