OPTIMASI MASALAH PROGRAM LINIER FUZZY TIDAK PENUH MENGGUNAKAN METODE SIMPLEKS DAN ALGORITMA DETERMINAN MATRIKS ORDO DUA
. Not fully fuzzy linear programming where there is trapezoidal fuzzy number form on decision variables, objective function coefficients, constraint functions coefficients, or the right side of constraints is part of fuzzy linear programming. This essay discusses about how to determine the optimal s...
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| Format: | Academic Paper |
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2017-01.
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| Online Access: | http://eprints.undip.ac.id/50945/ |
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| Summary: | . Not fully fuzzy linear programming where there is trapezoidal fuzzy number form on decision variables, objective function coefficients, constraint functions coefficients, or the right side of constraints is part of fuzzy linear programming. This essay discusses about how to determine the optimal solution of not fully fuzzy linear programming problems. The method used is Simplex Method and Determinant's Algorithm of Two Square Matrix and Robust Ranking to convert the fuzzy linear programming problems into crisp linear programming problem. Determinant of two order matrix Algorithm involves determinant of matrix in each iteration steps to obtain an optimal solution that is applicable to the maximum or minimum case. This algorithm is more efficient than usual simplex method which involves row transformations |
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| Item Description: | http://eprints.undip.ac.id/50945/1/Naskah_Publikasi.pdf |