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

Yingxin Zhang, Ting Li, Fan Yang and Lei Qiao
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Yingxin Zhang: Henan University of Urban Construction, China
Ting Li: Anhui Wenda University of Information Engineering, China
Fan Yang: Anhui Academy of Governance, China
Lei Qiao: Anhui Wenda University of Information Engineering, China

International Journal of Decision Support System Technology (IJDSST), 2024, vol. 16, issue 1, 1-20

Abstract: The significance of performance evaluation for venture capital in small and medium-sized technology startups lies in helping investors understand the effectiveness of their capital investment and assess the company's growth potential and market prospects. The performance evaluation of risk investment in small and medium-sized high-technology venture enterprises involves the application of MADM. In this study, we explore the generalized weighted geometric Bonferroni mean (GWGBM) operator for MADM, utilizing single-valued neutrosophic sets (SVNSs) to handle uncertainty and vagueness in MADM processes. The study begins by introducing the single-valued neutrosophic number GWGBM (SVNNGWGBM) operator, which is specifically designed to aggregate decision-making criteria under SVNSs. Following this, MADM methods based on the SVNNGWGBM are developed and discussed. To demonstrate the practical application of this approach, an illustrative case study is provided, focusing on the performance evaluation of risk investment in small and medium-sized high-technology venture enterprises.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:16:y:2024:i:1:p:1-20

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