Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers

dc.contributor.authorSidhu, Sukhpreet Kaur
dc.contributor.authorKumar, Amit
dc.contributor.authorAppadoo, S. S.
dc.date.accessioned2014-08-14T06:36:43Z
dc.date.available2014-08-14T06:36:43Z
dc.date.issued2014-4-22
dc.date.updated2014-08-14T06:36:44Z
dc.description.abstractThe drawbacks of the existing methods to obtain the fuzzy optimal solution of such linear programming problems, in which coefficients of the constraints are represented by real numbers and all the other parameters as well as variables are represented by symmetric trapezoidal fuzzy numbers, are pointed out, and to resolve these drawbacks, a new method (named as Mehar method) is proposed for the same linear programming problems. Also, with the help of proposed Mehar method, a new method, much easy as compared to the existing methods, is proposed to deal with the sensitivity analysis of the same type of linear programming problems.
dc.description.versionPeer Reviewed
dc.identifier.citationSukhpreet Kaur Sidhu, Amit Kumar, and S. S. Appadoo, “Mehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers,” Mathematical Problems in Engineering, vol. 2014, Article ID 697085, 8 pages, 2014. doi:10.1155/2014/697085
dc.identifier.doihttp://dx.doi.org/10.1155/2014/697085
dc.identifier.urihttp://hdl.handle.net/1993/23756
dc.language.rfc3066en
dc.rightsopen accessen_US
dc.rights.holderCopyright © 2014 Sukhpreet Kaur Sidhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleMehar Methods for Fuzzy Optimal Solution and Sensitivity Analysis of Fuzzy Linear Programming with Symmetric Trapezoidal Fuzzy Numbers
dc.typeJournal Article
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