Fully Bipolar Single-Valued Neutrosophic Transportation Problems

Transportation problem (TP) has its uses in real life because it versatile applications. Real-life problems are often uncertain due to which is difficult find the accurate cost. The fuzzy set and intuitionistic useful for handling uncertainty, but these also have some limitations. For that reason, this study, we worked on another of values called bipolar single-valued neutrosophic (BSNS) generalization crisp sets, sets handle uncertain, unpredictable, insufficient information real-life problems. In develop a new technique solving transportation based having nonnegative triangular numbers (TBSNNs). A score function used transform (BSNNs) into numbers. We compare our proposed model with models proved more admirable than existing models. Furthermore, apply fully solve (FBSNT) model.