Abstract
This paper presents a fuzzy programming approach for solvingInterval Multiobjective Solid Transportation Problem (IMOSTP). In real worldapplication, IMOSTP appears to be more realistic than a conventional SolidTransportation Problem (STP) as available data is uncertain. In such a problemthe solution process is very complex. By applying the order relation on theintervals, it is first transformed into a crisp multiobjective solidtransportation problem. After determining the individual optimal solution ofeach objective, a fuzzy programming approach is constructed to achieve thePareto optimal solution of IMOSTP. Finally, a numerical example is illustratedto demonstrate the feasibility of the presented solution procedure.
Keywords
Interval (graph theory)
Fuzzy logic
Multiobjective programming
Mathematical optimization
Computer science
Fuzzy transportation
Multi-objective optimization
Mathematics
Fuzzy set
Fuzzy set operations
Artificial intelligence
Subject Areas
Optimization and Mathematical Programming
·Control and Systems Engineering ·Physical Sciences