A Novel Approach To Solve Gaussian Valued Neutrosophic Shortest Path Problems
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A Novel Approach to Solve Gaussian Valued Neutrosophic Shortest Path Problems
In this article, we have introduced a novel method which deals Gaussian shaped neutrosophic problem easily without using any ranking method.
A Novel Approach to Solve Gaussian Valued Neutrosophic Shortest Path Problems
We have exhibited a novel method for finding the neutrosophic shortest path problem (NSSPP) considering Gaussian valued Neutrosophic number. We have used linear programming approach for finding the NSS- PP for Gaussian valued Neutrosophic number which is as per best of our information, hasn’t been used till date for any other research work. In this article, we have introduced a novel method which deals Gaussian shaped neutrosophic problem easily without using any ranking method. We have used this method to solve uncertain network problems to find the shortest path which can help in taking crucial uncertain decisions. Finally, some numerical considerations are provided to show the effectiveness of the proposed model.
Neutrosophic Graph Theory and Algorithms
Graph theory is a specific concept that has numerous applications throughout many industries. Despite the advancement of this technique, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has emerged as an applicable solution that is gaining significant attention in solving many real-life decision-making problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy. However, empirical research on this specific graph set is lacking. Neutrosophic Graph Theory and Algorithms is a collection of innovative research on the methods and applications of neutrosophic sets and logic within various fields including systems analysis, economics, and transportation. While highlighting topics including linear programming, decision-making methods, and homomorphism, this book is ideally designed for programmers, researchers, data scientists, mathematicians, designers, educators, researchers, academicians, and students seeking current research on the various methods and applications of graph theory.