De-Neutrosophication Technique of Pentagonal Neutrosophic Number and Application in Minimal Spanning Tree

Authors

  • Avishek Chakraborty Department of Basic Science, Narula Institute of Technology, Agarpara, Kolkata-700109, India.
  • Shreyashree Mondal Department of Information Technology, Narula Institute of Technology, Agarpara, Kolkata-700109, India
  • Said Broumi Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, B.P 7955,Sidi Othman, Casablanca, Morocco

Keywords:

Minimal Spanning Tree, Pentagonal Neutrosophic Number, De-Neutrosophication Technique

Abstract

In this current era, neutrosophic set theory is a crucial topic to demonstrate the ambiguous information due to existence of three disjunctive components appears in it and it provides a wide range of applications in distinct fields for the researchers. Generally, neutrosophic sets is the extended version of crisp set, fuzzy set and intuitionistic fuzzy sets to focus on the uncertain, hesitant and ambiguous datas of a real life mathematical problem. Demonstration of pentagonal neutrosophic number and its classification in different aspect is focused in this research article. Manifestation of de-neutrosophication technique of linear pentagonal neutrosophic number using removal area method has been developed here which has a remakable impact in crispfication of pentagonal neutrosophic number. Afterthat, utilizing this invented result, a minimal spanning tree problem has been solved in pentagonal neutrosophic environment. Comparision analysis is done with the other established method in this article and this noble design will be benificial for the researchers in neutrosophic domain in future.

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Published

2019-10-20

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Chakraborty, A. ., Mondal, S. ., & Broumi, S. . (2019). De-Neutrosophication Technique of Pentagonal Neutrosophic Number and Application in Minimal Spanning Tree . Neutrosophic Sets and Systems, 29, 1-18. https://fs.unm.edu/nss8/index.php/111/article/view/207

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