Methods to find strength of job competition among candidates under single-valued neutrosophic soft model

Sundas Shahzadi; Areen Rasool; Gustavo Santos-García; Sundas Shahzadi; Areen Rasool; Gustavo Santos-García

doi:10.3934/mbe.2023214

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 3: 4609-4642. doi: 10.3934/mbe.2023214

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Research article

Methods to find strength of job competition among candidates under single-valued neutrosophic soft model

1.
Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan
2.
IME, Universidad de Salamanca, 37007 Salamanca, Spain

Received: 21 August 2022 Revised: 06 October 2022 Accepted: 11 October 2022 Published: 27 December 2022

Neutrosophic soft set theory is one of the most developed interdisciplinary research areas, with multiple applications in various fields such as computational intelligence, applied mathematics, social networks, and decision science. In this research article, we introduce the powerful framework of single-valued neutrosophic soft competition graphs by integrating the powerful technique of single-valued neutrosophic soft set with competition graph. For dealing with different levels of competitive relationships among objects in the presence of parametrization, the novel concepts are defined which include single-valued neutrosophic soft k-competition graphs and p-competition single-valued neutrosophic soft graphs. Several energetic consequences are presented to obtain strong edges of the above-referred graphs. The significance of these novel concepts is investigated through application in professional competition and also an algorithm is developed to address this decision-making problem.

Keywords:

Citation: Sundas Shahzadi, Areen Rasool, Gustavo Santos-García. Methods to find strength of job competition among candidates under single-valued neutrosophic soft model[J]. Mathematical Biosciences and Engineering, 2023, 20(3): 4609-4642. doi: 10.3934/mbe.2023214

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Abstract

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