Properties of interval-valued quadripartitioned neutrosophic graphs with real-life application

Author:

Shi Xiaolong1,Kosari Saeed1,Rashmanlou Hossein2,Broumi Said3,Satham Hussain S.4

Affiliation:

1. Institute of Computing Science and Technology, Guangzhou University, Guangzhou, China

2. School of Mathematics, Damghan University, Damghan, Iran

3. TI Lab, Faculty of Science Ben M’sik, Hassan II University of Casablanca, Casablanca, Morocco and Regional Center for the Professions of Education and Training (C.R.M.E.F), Casablanca-settat, Morocco

4. PG & Research Department of Mathematics, Jamal Mohammed College, Trichy, India

Abstract

The interval-valued quadripartitioned neutrosophic set is represented by the partition of the interval-valued neutrosophic set’s indeterminacy function into contradiction and ignorance parts. This article introduces the properties of interval quadripartitioned single valued neutrosophic graph. The properties like complementary, self-complementary, strong and complete interval-valued quadripartitioned neutrosophic graphs are investigated. The finest illustration of locating a climate conducive to apricot cultivation in Ladakh is provided by the notion that has been offered. The model gives us details on the location that should be chosen for apricot farming. Using the proposed concepts, we highlight potential applications of the usual apricot plant that thrives in extremely cold climates and is appropriate for higher production. The adopted approach makes a superior fit to consider the problems in application viewpoint.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference34 articles.

1. Operations on single-valued neutrosophic graphs;Akram;Journal of Uncertain Systems,2017

2. Concepts of interval-valued neutrosophic graphs;Akram;International Journal of Algebra and Statistics,2017

3. Neutrosophic soft graphs with application;Akram;Journal of Intelligent & Fuzzy Systems,2017

4. Bipolar Neutrosophic Graph Structures;Akram;J Indones Math Soc,2017

5. Bipolar fuzzy graphs;Akram;Information Sciences,2011

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