Using complementary slackness property to solve linear programming with fuzzy parameters

A. Ebrahimnejad () and S. H. Nasseri ()
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A. Ebrahimnejad: Islamic Azad University
S. H. Nasseri: Mazandaran University

Fuzzy Information and Engineering, 2009, vol. 1, issue 3, 233-245

Abstract: Abstract The most popular approach to handle the challenge of solving fuzzy linear programming problems is to convert the fuzzy linear programming into the corresponding deterministic linear programming. Mahdavi-Amiri and Nasseri [15,16] developed the fuzzy dual simplex algorithm to fuzzy linear programming with fuzzy parameters. In this paper, we use the complementary slackness to solve it without the need of a simplex tableau.

Keywords: Complementary slackness; Duality; Fuzzy linear programming; Trapezoidal fuzzy numbers (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s12543-009-0026-9

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