VLSI implementation of a module for realization of basic t-norms on fuzzy hardware

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Fuzzy theory applications have been explored and analyzed on fields as pattern recognition, control, data classification, signal processing, expert systems, among others. To accomplish this, more complex calculations and faster processing speed are required, turning fuzzy hardware implementation to be the perfect choice. Fuzzy operations as tnorms and t-conorms are used in fuzzy systems as conjunction and disjunction operations respectively. Commonly used tnorms for hardware implementation are minimum and algebraic product, first one is cheaper to implement; second consumes more resources. On this work FPGA technology is used to implement basic fuzzy t-norms as minimum, Lukasiewicz and drastic product into an 8 bit single circuit that allows operation selection. Timing, resources and comparative results are presented.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages655-659
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 20 Aug 200924 Aug 2009

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2009 IEEE International Conference on Fuzzy Systems
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/08/0924/08/09

Fingerprint

Dive into the research topics of 'VLSI implementation of a module for realization of basic t-norms on fuzzy hardware'. Together they form a unique fingerprint.

Cite this