New algorithms for solving fuzzy relation equations
Leh Luoh,
Wen-June Wang and
Yi-Ke Liaw
Mathematics and Computers in Simulation (MATCOM), 2002, vol. 59, issue 4, 329-333
Abstract:
A new algorithm is proposed to solve the fuzzy relation equation P∘Q=R with max–min composition and max–product composition. The algorithm operates systematically and graphically on a matrix pattern to get all the solutions of P. An example is given to illustrate its effectiveness.
Keywords: Fuzzy relation equations; Max–min operator; Max–product operator (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475401003871
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:59:y:2002:i:4:p:329-333
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().