Mathematics and Statistics Faculty and Staff Publications

Document Type

Article

Publication Date

7-2017

Abstract

In this paper, we develop a new approach to deal with neutrosphic shortest path problem in a network in which each edge weight (or length) is represented as triangular fuzzy neutrosophic number. The proposed algorithm also gives the shortest path length from source node to destination node using ranking function. Finally, an illustrative example is also included to demonstrate our proposed approach.

Publication Title

Computing Conference 2017, 18-20 July 2017, London, UK

First Page

1

Last Page

30

Language (ISO)

English

Keywords

Triangular fuzzy neutrosophic sets; score function; Shortest path problem

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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