Abstract
In this paper information aggregation of generalised max and min operators is outlined, where some new operators from this operator-group, (the maximum distance minimum and the maximum distance maximum operators for example), are uninorms and compensative ones as well. A Mamdani type FLC inference mechanism is represented, and the fuzzy rule system uses the new operator group. Several pairs of the evolutionary T t-norms (for rule outputs obtaining) and evolutionary S t-conorms (for FLC output obtaining) have been tried out. Some investigation results are given after the simulation.
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