An Optimal More-for-Less Solution to Fuzzy Transportation Problems with Mixed Constraints

A new algorithm based on fuzzy zero point method [14] for finding an optimal more-for-less solution for a fuzzy transportation problem with mixed constraints where the transportation cost, supply and demand are triangular fuzzy numbers. The proposed method is very simple, easy to understand and apply. The new proposed algorithm is illustrated with the help of numerical example. The morefor-less situation exists in reality and it could present managers with an opportunity for shipping more units for less or the same cost. Mathematics Subject Classification: 90C08, 90C90