An Improved Triangular Fuzzy Number Model for Transportation Optimization Using Harmonic Mean

Key Points

• To enhance transportation optimization by utilizing triangular fuzzy numbers to account for uncertainty in data.
• Developed an improved triangular fuzzy number model to address transportation costs and constraints.
• Employed an enhanced defuzzification method to convert fuzzy models into crisp forms.
• Applied classical optimization techniques to solve the transformed problems.
• The fuzzy model achieved improved decision accuracy in transportation planning.
• Reduced computational effort was observed compared to traditional methods.
• The approach provided reliable solutions even under uncertain conditions.

Abstract