Abstract:
This article discusses the solution of multi-objective linear interval programming
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 convert the multi-
objective function into a single objective function using the weighting method, then
the interval number in the objective function is solved 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.
