A novel method for solving fully fuzzy linear fractional programming problems

There are very few methods in literature to deal with fully fuzzy linear fractional programming (FFLFP) problems. In this paper, it is pointed out that in the existing methods (Journal of Applied Mathematics and Computing, 27 (2008), 227-242; Yugoslav Journal of Operations Research, 22 (2012), 41-50...

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Veröffentlicht in:Journal of intelligent & fuzzy systems 2017-01, Vol.33 (4), p.1983-1990
Hauptverfasser: Kaur, Jagdeep, Kumar, Amit
Format: Artikel
Sprache:eng
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Zusammenfassung:There are very few methods in literature to deal with fully fuzzy linear fractional programming (FFLFP) problems. In this paper, it is pointed out that in the existing methods (Journal of Applied Mathematics and Computing, 27 (2008), 227-242; Yugoslav Journal of Operations Research, 22 (2012), 41-50) for solving FFLFP problems, an inappropriate ranking property is used which may lead to the erroneous results. To resolve the flaw of the existing methods, a new method is proposed for solving FFLFP problems, and is illustrated with the help of a numerical problem.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-151993