Neutrosophic Sets and Systems
Abstract
The comprehensive evaluation of innovation capabilities in central cities of emerging countries is essential for promoting regional economic growth. This evaluation examines various factors, such as scientific activities, innovation infrastructure, talent resources, and policy environments, offering insights into the current innovation landscape and future potential. By guiding the allocation of resources and optimizing innovation policies, it fosters the transformation of technological achievements and accelerates urban economic transformation and sustainable development. Moreover, it helps cities attract investment and skilled talent, enhancing their competitiveness and influence. This evaluation is a multi-attribute decision-making (MADM) challenge, for which the cross-entropy method has been recently adopted to handle complex criteria. Type-2 neutrosophic numbers (T2NNs) are used to represent uncertainty in assessing innovation capabilities. This study introduces the Type-2 neutrosophic number cross entropy (T2NN-HS-CE) approach with HyperSoft to solve MADM problems involving T2NNs. A numerical case study and sensitivity analysis validate the effectiveness of the proposed method in assessing the innovation capacity of cities in developing nations.
Recommended Citation
Zhang, Xiangke; Shoukui He; and Xu Chen. "A Cross-Entropy-Based Framework Using HyperSoft Type-2 Neutrosophic Numbers for Innovation Capability Evaluation in Central Cities of Emerging Economies." Neutrosophic Sets and Systems 78, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol78/iss1/8
