A Simplified Novel Technique for Solving Fully Fuzzy Linear Programming Problems

Izaz Ullah Khan (), Tahir Ahmad and Normah Maan
Additional contact information
Izaz Ullah Khan: COMSATS Institute of IT Abbottabad
Tahir Ahmad: Universiti Teknologi Malaysia
Normah Maan: Universiti Teknologi Malaysia

Journal of Optimization Theory and Applications, 2013, vol. 159, issue 2, No 14, 536-546

Abstract: Abstract This study proposes a novel technique for solving Linear Programming Problems in a fully fuzzy environment. A modified version of the well-known simplex method is used for solving fuzzy linear programming problems. The use of a ranking function together with the Gaussian elimination process helps in solving linear programming problems in a fully uncertain environment. The proposed algorithm is flexible, easy and reasonable.

Keywords: Fuzzy Linear Programming Problems (FLP); Fuzzy simplex method; Ranking and selection (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-012-0215-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:joptap:v:159:y:2013:i:2:d:10.1007_s10957-012-0215-2

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-012-0215-2

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().