A new approach for optimization of real life transportation problem in interval valued trapezoidal neutrosophic environment

In today’s vague real life situation, Interval Valued Trapezoidal Neutrosophic Sets (IVTrNS) have received more interest among the researchers and industrialists. In the estimation of transportation cost, unpredicted factors like road condition, fuel price, weather and traffic conditions affect the cost of transportation. To deal such issues, we consider IVTrNS parameters for the transportation problem, a decision matrix technique is illustrated to find its optimal solution and the operational laws of IVTrNS are discussed.