Download PDFOpen PDF in browserA New Method for Solving Interval Neutrosophic Linear Programming ProblemsEasyChair Preprint 234617 pages•Date: January 9, 2020AbstractBecause of uncertainty in the real-world problems, achieving to the optimal solution is always time consuming and even sometimes impossible.In order to overcome this drawback the neutrosophic sets theory which is a generalization of the fuzzy sets theory is presented that can handle not only incomplete information but also indeterminate and inconsistent information which is common in real-world situations. By considering these conditions in this paper for the first time an interval neutrosophic linear programming model will be presented, where the parameters of the proposed model are represented by triangular interval-valued neutrosophic numbers and call it Interval Neutrosophic Linear Programming (INLP) problems. Furthermore by using a ranking function present a technique to convert every INLP problem into a crisp model and solve it by standard methods.Because of uncertainty in the real-world problems, achieving to the optimal solution is always time consuming and even sometimes impossible.In order to overcome this drawback the neutrosophic sets theory which is a generalization of the fuzzy sets theory is presented that can handle not only incomplete information but also indeterminate and inconsistent information which is common in real-world situations. By considering these conditions in this paper for the first time an interval neutrosophic linear programming model will be presented, where the parameters of the proposed model are represented by triangular interval-valued neutrosophic numbers and call it Interval Neutrosophic Linear Programming (INLP) problems. Furthermore by using a ranking function present a technique to convert every INLP problem into a crisp model and solve it by standard methods. Keyphrases: Interval neutrosophic programming, Neutrosophic linear programming, neutrosophic
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