Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87587
Title: Multi-valued and fuzzy logic realization using TaOx memristive devices
Authors: Bhattacharjee, Debjyoti
Kim, Wonjoo
Chattopadhyay, Anupam
Waser, Rainer
Rana, Vikas
Keywords: Random Access Memory (ReRAM)
Multi-valued Logic (MVL)
Issue Date: 2017
Source: Bhattacharjee, D., Kim, W., Chattopadhyay, A., Waser, R., & Rana, V. (2018). Multi-valued and fuzzy logic realization using TaOx memristive devices. Scientific Reports, 8(1), 8-.
Series/Report no.: Scientific Reports
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.
URI: https://hdl.handle.net/10356/87587
http://hdl.handle.net/10220/45430
ISSN: 2045-2322
DOI: http://dx.doi.org/10.1038/s41598-017-18329-3
Rights: © 2017 The Author(s) (Nature Publishing Group). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
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