Enhanced Decision-Making Technique for Innovation Capability Evaluation in the Core Industries of Digital Economy under Double-Valued Neutrosophic Sets

The evaluation of innovation capability in the core industries of digital economy is a comprehensive analysis and assessment of the innovation capacities of industries closely related to digital technologies. The assessment typically includes aspects such as technology research and development, corporate innovation investment, talent cultivation, and market competitiveness, aiming to measure the innovation level of these industries in driving digital economic growth. Through quantitative and qualitative analysis, the evaluation helps formulate policies, optimize resource allocation, and enhance the international competitiveness and sustainable development of the core industries in the digital economy. The innovation capability evaluation in the core industries of digital economy is multi-attribute decision-making (MADM) problem. Recently, methods such as the TODIM and TOPSIS approaches have been applied to tackle these challenges. Double Valued Neutrosophic Sets (DVNSs) are used to represent fuzzy data in the evaluation process. In this study, a Double-Valued Neutrosophic Number TODIM-TOPSIS (DVNN-TODIM-TOPSIS) approach is proposed to address MADM problems involving DVNSs. Finally, a numerical case study on the innovation capability evaluation in the core industries of digital economy is provided to demonstrate the effectiveness of the DVNN-TODIM-TOPSIS approach.