Abstract
We present an application of the “modified subgradient method” to solve a fuzzy linear fractional programming problem. We concentrate on a linear fractional programming problem in which both the right-hand side and the technological coefficients are fuzzy numbers. We compare efficiency of the proposed solution method with the well-known “fuzzy decisive set method” in terms of the number of iterations taken to reach the optimal solution. A numerical illustration is provided for the purpose.
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Gupta, P., Mehlawat, M. (2011). An Application of the Modified Subgradient Method for Solving Fuzzy Linear Fractional Programming Problem. In: Mishra, S. (eds) Topics in Nonconvex Optimization. Springer Optimization and Its Applications(), vol 50. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9640-4_8
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DOI: https://doi.org/10.1007/978-1-4419-9640-4_8
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