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

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 neu-trosophic 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.

Automated summary

Neutrosophic soft set theory is a well-developed interdisciplinary research area with various applications in computational intelligence, applied mathematics, social networks, and decision science. In this research article, a powerful framework called single-valued neutrosophic soft competition graphs is introduced by integrating the technique of single-valued neutrosophic soft set with competition graph. New concepts such as single-valued neutrosophic soft k-competition graphs and p-competition single-valued neutrosophic soft graphs are defined to handle different levels of competitive relationships among objects with parametrization. The significance of these concepts is investigated through professional competition application and an algorithm is developed to address decision-making problem.