Abstract
The shortest path problem has been one of the most fundamental practical problems in network analysis. One of the good algorithms is Bellman-Ford, which has been applied in network, since the last some years. By virtue of complexity in the decision making process, the decision makers face complication to express their view and judgment with an exact number for single valued membership degrees under neutrosophic environment. Though the interval number is a special situation of the neutrosophic, it is not solved the shortest path problems in an absolute manner. Hence, in this work, we have proposed the trapezoidal interval valued neutrosophic version of Bellman’s algorithm to solve the shortest path problem absolutely.
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Broumi, S., Nagarajan, D., Lathamaheswari, M., Talea, M., Bakali, A., Smarandache, F. (2019). Bellman-Ford Algorithm Under Trapezoidal Interval Valued Neutrosophic Environment. In: Alfaries, A., Mengash, H., Yasar, A., Shakshuki, E. (eds) Advances in Data Science, Cyber Security and IT Applications. ICC 2019. Communications in Computer and Information Science, vol 1098. Springer, Cham. https://doi.org/10.1007/978-3-030-36368-0_15
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