Representation Of Graphs Using Intuitionistic Neutrosophic Soft Sets


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REPRESENTATION OF GRAPHS USING INTUITIONISTIC NEUTROSOPHIC SOFT SETS


REPRESENTATION OF GRAPHS USING INTUITIONISTIC NEUTROSOPHIC SOFT SETS

Author: MUHAMMAD AKRAM

language: en

Publisher: Infinite Study

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The concept of intuitionistic neutrosophic soft sets can be utilized as a mathematical tool to deal with imprecise and unspecified information. In this paper, we apply the concept of intuitionistic neutrosophic soft sets to graphs. We introduce the concept of intuitionistic neutrosophic soft graphs, and present applications of intuitionistic neutrosophic soft graphs in multiple-attribute decision-making problems. We also present an algorithm of our proposed method.

Application of intuitionistic neutrosophic graph structures in decision-making


Application of intuitionistic neutrosophic graph structures in decision-making

Author: Muhammad Akram

language: en

Publisher: Infinite Study

Release Date:


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In this research study, we present concept of intuitionistic neutrosophic graph structures. We introduce the certain operations on intuitionistic neutrosophic graph structures and elaborate them with suitable examples.

Neutrosophic Sets and Systems, Vol. 28, 2019


Neutrosophic Sets and Systems, Vol. 28, 2019

Author: Florentin Smarandache

language: en

Publisher: Infinite Study

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“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc. Some articles from this issue: Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain, Single Valued Neutrosophic Coloring, An Integrated Neutrosophic and MOORA for Selecting Machine Tool, Plithogenic Fuzzy Whole Hypersoft Set, Construction of Operators and their Application in Frequency Matrix Multi Attribute Decision Making Technique, Pi-Distance of Rough Neutrosophic Sets for Medical Diagnosis, Machine learning in Neutrosophic Environment: A Survey.