Neutrosophic Graph Theory for Evaluation of High-Quality Party Building in Driving the High-Quality Development of Universities

Abstract

The convergence of academic excellence and political governance is becoming more 
and more important for changing higher education scene. Excellent Party building is now seen as 
a catalyst for institutional renovation and advancement rather than just a political necessity. The 
role and quantifiable effects of Party building techniques on the overall growth of universities are 
examined in this study, with an emphasis on the ways in which organizational, leadership, and 
ideological changes support high-quality education, the development of talent, and social service. 
The study examines the efficacy of Party-led initiatives and their conformity to national 
development goals using a multi-criteria evaluation approach. There are many uses for graph 
theory, which may be used to explain the interactions between several people, in a variety of 
domains, including database theory, data mining, neural networks, expert systems, cluster 
analysis, control theory, image capture, and current sciences and technology. The idea of a 
neutrosophic set, which is an extension of fuzzy sets (FS) and intuitionistic fuzzy sets (IFS), is a 
more useful tool for managing ambiguous, inconsistent, and indeterminate information that 
arises in real life than FSs and IFSs. The discoveries pertaining to crisp graphs, fuzzy graphs, and 
intuitionistic fuzzy graphs are expanded in this work by applying the graph theory to single
valued neutrosophic sets and exploring a novel type of graph structure known as single-valued 
neutrosophic graphs (SVNG). We use SVNG for Evaluation of High-Quality Party Building in 
Driving the High-Quality Development of Universities. An example is provided. The results are 
intended to offer empirical understanding and policy recommendations to improve Party 
building as a tactical tool for raising the standard of higher education.

DOI: 10.5281/zenodo.15514507