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Sensitivity Analysis for Fuzzy Linear Programming Problems

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

Kheirfam and Hasani [5] proposed a method for the sensitivity analysis for fuzzy linear programming problem with fuzzy variables. In this paper, a new method is proposed for solving same type of problems. The main advantage of proposed method over the existing method is that if the same problems are solved by both the existing as well as proposed method then the obtained results will be same, while, it is easy and less time consuming to apply the proposed method as compared to existing method. To illustrate the proposed method and to show the advantage of proposed method the numerical examples, solved by Kheirfam and Hasani, are solved by the proposed method and the obtained results are compared.

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© 2011 Springer-Verlag Berlin Heidelberg

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Kumar, A., Bhatia, N. (2011). Sensitivity Analysis for Fuzzy Linear Programming Problems. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_18

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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