Extended Mamdani Fuzzy Logic Controller

I. Iancu (Romania)


Fuzzy logic, T-norm, Implication.


The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. Because the interval inputs are frequently used in various domains (online shopping, for instance), in this paper we propose an extension of this type of reasoning which works with crisp data, intervals and/or linguistic terms as inputs and with various implication operators. For any implication one obtain a crisp value as output. Finally, these outputs are combined to obtain the overall crisp out put action of the system.

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