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This study proposes a novel technique for solving linear programming problems in a fully fuzzy environment. A modified version of the well-known dual simplex method is used for solving fuzzy linear programming problems. The use of a ranking function together with the Gaussian elimination process helps in solving linear programming problems in a fully uncertain environment. The proposed algorithm is...
We prove necessary optimality conditions of Euler-Lagrange type for both fuzzy unconstrained and constrained fractional variational problems where the fuzzy fractional derivative is described in the Jumarie's Riemann-Liouville sense. The new results are illustrated by computing the extremals of two fuzzy variational problems.
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