| Abstrakt: |
Optimization algorithms have many general practical applications, such as investigating network flows, managing project timetables, and solving assignment-related problems. The network, node supply and demand, edge capacity and cost, and the minimum feasible transportation cost for a set of commodities across a capacitated network are all illustrated using fuzzy numbers. We can then determine the most cost-effective means of transporting the products. There is a singular emphasis in all of this team's studies. The Robust ranking technique is being applied to the transportation problem by representing fuzzy demand and supply information with trapezoidal fuzzy numbers. When it comes to solving real transportation problems, this approach is clear, simple, and has no learning curve. [ABSTRACT FROM AUTHOR] |
