This paper presents a fuzzy programming approach for solving
Interval Multiobjective Solid Transportation Problem (IMOSTP). In real world
application, IMOSTP appears to be more realistic than a conventional Solid
Transportation Problem (STP) as available data is uncertain. In such a problem
the solution process is very complex. By applying the order relation on the
intervals, it is first transformed into a crisp multiobjective solid
transportation problem. After determining the individual optimal solution of
each objective, a fuzzy programming approach is constructed to achieve the
Pareto optimal solution of IMOSTP. Finally, a numerical example is illustrated
to demonstrate the feasibility of the presented solution procedure.
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | December 31, 2016 |
Published in Issue | Year 2016 Volume: 4 Issue: 4 |