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@ARTICLE{Bhattacharjee:841896,
      author       = {Bhattacharjee, Debjyoti and Kim, Wonjoo and Chattopadhyay,
                      Anupam and Waser, R. and Rana, Vikas},
      title        = {{M}ulti-valued and {F}uzzy {L}ogic {R}ealization using
                      {T}a{O}x {M}emristive {D}evices},
      journal      = {Scientific reports},
      volume       = {8},
      number       = {1},
      issn         = {2045-2322},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2018-00193},
      pages        = {8},
      year         = {2018},
      abstract     = {Among emerging non-volatile storage technologies,
                      redox-based resistive switching Random Access Memory (ReRAM)
                      is a prominent one. The realization of Boolean logic
                      functionalities using ReRAM adds an extra edge to this
                      technology. Recently, 7-state ReRAM devices were used to
                      realize ternary arithmetic circuits, which opens up the
                      computing space beyond traditional binary values. In this
                      manuscript, we report realization of multi-valued and fuzzy
                      logic operators with a representative application using
                      ReRAM devices. Multi-valued logic (MVL), such as
                      Łukasiewicz logic generalizes Boolean logic by allowing
                      more than two truth values. MVL also permits operations on
                      fuzzy sets, where, in contrast to standard crisp logic, an
                      element is permitted to have a degree of membership to a
                      given set. Fuzzy operations generally model human reasoning
                      better than Boolean logic operations, which is predominant
                      in current computing technologies. When the available
                      information for the modelling of a system is imprecise and
                      incomplete, fuzzy logic provides an excellent framework for
                      the system design. Practical applications of fuzzy logic
                      include, industrial control systems, robotics, and in
                      general, design of expert systems through knowledge-based
                      reasoning. Our experimental results show, for the first
                      time, that it is possible to model fuzzy logic natively
                      using multi-state memristive devices.},
      cin          = {PGI-7 / PGI-10 / JARA-FIT},
      ddc          = {000},
      cid          = {I:(DE-Juel1)PGI-7-20110106 / I:(DE-Juel1)PGI-10-20170113 /
                      $I:(DE-82)080009_20140620$},
      pnm          = {524 - Controlling Collective States (POF3-524)},
      pid          = {G:(DE-HGF)POF3-524},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29311689},
      UT           = {WOS:000419441300008},
      doi          = {10.1038/s41598-017-18329-3},
      url          = {https://juser.fz-juelich.de/record/841896},
}