Abstract: The evaluation of urban park environmental design quality focuses on functionality, aesthetics, ecology, and user experience. Functionality ensures practical facilities, clear zoning, and accessibility. Aesthetics emphasizes visual harmony, cultural integration, and artistic appeal. Ecological quality assesses vegetation, biodiversity, and sustainability, promoting environmental protection. User experience evaluates comfort, safety, inclusivity, and the ability to meet diverse needs. A well-designed park balances these elements, fostering harmony between humans and nature while enhancing public well-being, environmental awareness, and the overall urban living experience. The quality evaluation of urban park environmental design is multi-attribute decision-making (MADM). In this study, triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) approach is executed under triangular fuzzy neutrosophic sets (TFNSs). Furthermore, Then, entropy is employed to execute the weight and TFNN-CE approach is executed for MADM under TFNSs. Finally, numerical example for quality evaluation of urban park environmental design is executed the advantages of TFNN-CE approach through different comparisons. The major contributions of this study could be executed: (1) entropy is employed to execute the weight under TFNSs; (2) TFNN-CE approach is executed under TFNSs; (3) TFNN-CE approach is put forward for MADM under TFNSs; (4) numerical example for quality evaluation of urban park environmental design is executed the advantages of TFNN-CE approach through different comparisons.

Xing She, Xi Xie and Peng Xie, “Cross-Entropy-Driven Optimization of Triangular Fuzzy Neutrosophic MADM for Urban Park Environmental Design Quality Evaluation” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151238

@article{She2024,
title = {Cross-Entropy-Driven Optimization of Triangular Fuzzy Neutrosophic MADM for Urban Park Environmental Design Quality Evaluation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151238},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151238},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Xing She and Xi Xie and Peng Xie}
}