Modeling Uncertainties Associated with Single-Valued Neutrosophic Multi-Attribute Decision-Making for Performance Evaluation of Risk Investment in Small and Medium-Sized High-Technology Venture Enterprises

Authors

  • Huihui Shi Anhui Wenda University of Information Engineering, Hefei, 230000, Anhui, China
  • Ting Li Anhui Wenda University of Information Engineering, Hefei, 230000, Anhui, China
  • Fan Yang Anhui Academy of Governance, Hefei, 230000, Anhui, China
  • Lei Qiao Anhui Wenda University of Information Engineering, Hefei, 230000, Anhui, China

Keywords:

Multiple-attribute decision-making (MADM); SVNSs; GWGBM operator; medium-sized high-technology venture enterprises

Abstract

In recent years, a group of rapidly growing technology-based entrepreneurial enterprises have 
emerged in China, playing an increasingly important role in the national economy. However, small and mediumsized technology startups have low profitability and high risk, making it difficult to obtain sufficient funds from 
traditional financing channels. At present, research on venture capital evaluation mainly focuses on the 
evaluation of projects before venture capital, and empirical methods are mostly used to study the promoting 
effect of venture capital on performance after investment, ignoring the issue of continuous evaluation after 
investment. The performance evaluation of risk investment in small and medium-sized high-technology venture 
enterprises is MADM. In such study, the generalized weighted geometric Bonferroni mean (GWGBM) 
technique is illustrated for MADM under single-valued neutrosophic sets (SVNSs). We begin by constructing 
the single-valued neutrosophic number GWGBM (SVNNGWGBM) operator, followed by the introduction of 
the MADM based on this technique. Subsequently, we provide an illustrative example that evaluates the 
performance of risk investment in small and medium-sized high-technology venture enterprises, supplemented 
by some comparative analyses to demonstrate the SVNNGWGBM technique. The principal contributions of 
this research are highlighted: (1) The maximizing deviation method is employed to derive the weight; (2)The 
GSVNNWBM technique is developed, setting the stage for the introduction of MADM methods based on 
GSVNNWBM technique; (3) Numerical example is presented that focuses on the performance evaluation of 
risk investment in small and medium-sized high-technology venture enterprises, along with a comparative 
decision analysis. 

 

DOI: 10.5281/zenodo.13955701

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Published

2024-10-19

How to Cite

Huihui Shi, Ting Li, Fan Yang, & Lei Qiao. (2024). Modeling Uncertainties Associated with Single-Valued Neutrosophic Multi-Attribute Decision-Making for Performance Evaluation of Risk Investment in Small and Medium-Sized High-Technology Venture Enterprises. Neutrosophic Sets and Systems, 75, 319-340. https://fs.unm.edu/nss8/index.php/111/article/view/5125