Sensitivity Analysis on Linear Programming Problems with Trapezoidal Fuzzy Variables

Seyed Hadi Nasseri and Ali Ebrahimnejad
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Seyed Hadi Nasseri: University of Mazandaran, Iran
Ali Ebrahimnejad: Islamic Azad University, Qaemshahr Branch, Iran

International Journal of Operations Research and Information Systems (IJORIS), 2011, vol. 2, issue 2, 22-39

Abstract: In the real word, there are many problems which have linear programming models and sometimes it is necessary to formulate these models with parameters of uncertainty. Many numbers from these problems are linear programming problems with fuzzy variables. Some authors considered these problems and have developed various methods for solving these problems. Recently, Mahdavi-Amiri and Nasseri (2007) considered linear programming problems with trapezoidal fuzzy data and/or variables and stated a fuzzy simplex algorithm to solve these problems. Moreover, they developed the duality results in fuzzy environment and presented a dual simplex algorithm for solving linear programming problems with trapezoidal fuzzy variables. Here, the authors show that this presented dual simplex algorithm directly using the primal simplex tableau algorithm tenders the capability for sensitivity (or post optimality) analysis using primal simplex tableaus.

Date: 2011
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