Prediction of Transportation Costs Using Trapezoidal Neutrosophic Fuzzy Analytic Hierarchy Process and Artificial Neural Networks

Prediction of Transportation Costs Using Trapezoidal Neutrosophic Fuzzy Analytic Hierarchy Process and Artificial Neural Networks

Transportation is one of the critical functions in any business, and its cost depends on many constraints, including driver behavior, weather, distance, and demand in the market. This study proposes a novel approach for multi-criteria decision-making problems using the analytical hierarchy process (...

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Bibliographic Details
Main Authors: Akash Singh, Amrit Das, Uttam Kumar Bera, Gyu M. Lee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Analytical hierarchy process
artificial neural network
feed forward back propagation learning algorithm
transportation problem
trapezoidal neutrosophic fuzzy number
Online Access:https://ieeexplore.ieee.org/document/9491069/

Internet

https://ieeexplore.ieee.org/document/9491069/

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