Performance Evaluation of Tourism Marketing Based on Fuzzy Neural Inference System (FNIS) in Low Carbon Economy Environment

Tourism marketing is vital for a low-carbon environmental system and societal well-being, especially with the rapid development of China's tourism industry. For businesses, understanding tourism marketing theory, utilizing effective marketing tools, and staying abreast of market trends are crucial for sustained success. This study focuses on evaluating tourism marketing performance, examining the application of data analysis techniques in this domain. Using three core variables—promotion of urban tourism, destination reputation, and tourist revisit rate prediction using a system dynamics model—this study demonstrates that the fuzzy neural inference system excels in predicting these variables, achieving high accuracy with an optimal coefficient of determination. This highlights the significant advantages of data analysis in assessing tourism marketing performance and provides robust methodological support for future studies.