CD Skripsi
Metode Pendekatan Dua Fase UntukMenyelesaikan Program Linear Fuzzy Fleksibel Multi-Objektif
ABSTRACT
This nal project discusses the solution of multi-objective linear interval pro-
gramming with
exible fuzzy constraints using a two-phase approach. The
objective function is in the form of interval. The solution to this problem is
to converting the multi-objective function into a single objective function using
the weighting method, then the interval number in the objective function is so-
lved using the Best and Worst Cases (BWC) method. Then the fuzzy numbers
are converted into crisp numbers using a multi-parametric linear programming
with a two-phase approach to solve them. It can be concluded that the two-
phase approach can be used as an alternative method in solving multi-objective
interval linear programming with
exible fuzzy constraints.
Keywords: Multi-objective interval linear programming,
exible fuzzy linear
programming, two-phase approach, weighting method, best and worst cases
method, multi-parametric linear programming
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