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Computation of Shortest Path Problem in a Network with SV-Trapezoidal Neutrosophic Numbers

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Book Synopsis Computation of Shortest Path Problem in a Network with SV-Trapezoidal Neutrosophic Numbers by : Said Broum

Download or read book Computation of Shortest Path Problem in a Network with SV-Trapezoidal Neutrosophic Numbers written by Said Broum. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this work, a neutrosophic network method is proposed for finding the shortest path length with single valued trapezoidal neutrosophic number. The proposed algorithm gives the shortest path length using score function from source node to destination node. Here the weights of the edges are considered to be single valued trapezoidal neutrosophic number. Finally, a numerical example is used to illustrate the efficiency of the proposed approach.

Shortest Path Problem under Trapezoidal Neutrosophic Information

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Book Synopsis Shortest Path Problem under Trapezoidal Neutrosophic Information by : Said Broumi

Download or read book Shortest Path Problem under Trapezoidal Neutrosophic Information written by Said Broumi. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this research paper, a new approach is proposed for computing the shortest path length from source node to destination node in a neutrosophic environment. The edges of the network are assigned by trapezoidal fuzzy neutrosophic numbers. A numerical example is provided to show the performance of the proposed approach.

Computation of Shortest Path In A Network Using Trapezoidal Fuzzy Neutrosophic Number

Mathematics
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Book Synopsis Computation of Shortest Path In A Network Using Trapezoidal Fuzzy Neutrosophic Number by : M. Mohamed Jabarulla

Download or read book Computation of Shortest Path In A Network Using Trapezoidal Fuzzy Neutrosophic Number written by M. Mohamed Jabarulla. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we develop a new approach to deal with neutrosophic shortest path problem in a network in which each edge weight is represented as trapezoidal fuzzy neutrosophic number. The proposed algorithm gives the shortest path length using signed distance from source node to destination node. Finally, an illustrative example is provided to show the applicability and effectiveness of the proposed approach.

Neutrosophic Shortest Path Problem

Mathematics
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Book Synopsis Neutrosophic Shortest Path Problem by : Ranjan Kumar

Download or read book Neutrosophic Shortest Path Problem written by Ranjan Kumar. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: Neutrosophic set theory provides a new tool to handle the uncertainties in shortest path problem (SPP). This paper introduces the SPP from a source node to a destination node on a neutrosophic graph in which a positive neutrosophic number is assigned to each edge as its edge cost. We define this problem as neutrosophic shortest path problem (NSSPP). A simple algorithm is also introduced to solve the NSSPP. The proposed algorithm finds the neutrosophic shortest path (NSSP) and its corresponding neutrosophic shortest path length (NSSPL) between source node and destination node.

Shortest Path with Normalized Single Valued Trapezoidal Neutrosophic Numbers

Mathematics
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Book Synopsis Shortest Path with Normalized Single Valued Trapezoidal Neutrosophic Numbers by : D. Selvi

Download or read book Shortest Path with Normalized Single Valued Trapezoidal Neutrosophic Numbers written by D. Selvi. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt: In this paper we studied the network with Single Valued Trapezoidal Neutrosophic (SVTN) numbers. We propose an algorithm by transforming single valued trapezoidal neutrosophic (SVTN) numbersinto normalized single valued trapezoidal neutrosophic (NSVTN) numbers and obtain an optimal value of the short path problem using defuzzification and scoring function. Finally, a numerical example is used to illustrate the efficiency of the proposed approach.

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