MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY

In this thesis discussed on fuzzy transportation problem (FTP) and multiobjective fuzzy transportation problem (MFTP) with number of supply, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers. The solution of fuzzy transportation problem (FTP) with a number of supply, the amount of demand, transportation costs and the decision variables declared with trapezoidal fuzzy number, can be determined by Fuzzy Transport Algorithm (FTA) which utilizes Ranking Score Method (RSM) to determine the ranking of these numbers fuzzy. While the Pareto optimal solutions of the multiobjective transportation problem with supply amount, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers can be determined by Multiobjective Fuzzy Transport Algorithm (MFTA). In determining the Pareto optimal solution of multiobjective fuzzy transportation problem (MFTP) can be done in two stages. The first stage is to bring the multiobjective fuzzy transportation problem (MFTP) be a fuzzy transportation problem (FTP) with a weighting method. Fuzzy transportation problem (FTP) that is obtained is called the weighting problem. The second stage is to solve the weighting problem obtained by Fuzzy Transportation Algorithm (FTA). In this thesis two numerical examples are also given to determine the optimal solution of Fuzzy Transportation Problem (FTP) by Algorithm Fuzzy Transportation (FTA) and a numerical example to determine the Pareto optimal solution of Multiobjective Fuzzy Transportation Problem (MFTP) with Multiobjective Fuzzy Transportation Algorithm (MFTA). Keywords: Trapezoid Fuzzy Number, Fuzzy Transportation Problem, Fuzzy Transportation Algorithm, Multiobjective Fuzzy Transportation Algorith