Some difficulties emerging during the construction of fuzzy rule bases are inherited from the type of the applied fuzzy reasoning. The fuzzy rule base requested for many classical reasoning methods needed to be complete. In case of fetching fuzzy rules directly from expert knowledge, the way of building a complete rule base is not always straightforward. One simple solution for overcoming the n...

The notion of the fuzzy assertion based on propositional modal logic is introduced and the properties of the fuzzy reasoning based on fuzzy assertions are studied. As an extending of the traditional semantics of modal logics, the fuzzy Kripke semantics is considered and a formal fuzzy reasoning system based on fuzzy constraint is established. In order to decide whether a fuzzy assertion is a lo...

In this paper a new method for autotuning SISO and MIMO PID fuzzy logic controllers (FLC) is proposed. The fuzzy autotune procedure adjusts on-line the parameters of a conventional PID controller located in the forward loop of the process. Fuzzy rules are based on the representation of human expertise on how can be the behaviour of gain and phase margins of a control system to efficiently compe...

A framework of integrated expert systems based on fuzzy Petri net, called fuzzy Petri net based expert system (FPNES) are proposed for bridge damage assessment. Major features of FPNES include: reasoning for uncertain and imprecise information; knowledge representation through the use of hierarchical fuzzy Petri nets; reasoning mechanism based on fuzzy Petri nets; and explanation of reasoning p...