  In our work we propose implementing fuzzy logic using memristors. Min and max
operations are done by antipodally configured memristor circuits that may be
assembled into computational circuits. We discuss computational power of such
circuits with respect to m-efficiency and experimentally observed behavior of
memristive devices. Circuits implemented with real devices are likely to
manifest learning behavior. The circuits presented in the work may be
applicable for instance in fuzzy classifiers.
