Abstract: The study aims to evaluate the tourism attractiveness of different tourist attractions in the same region through the TOPSIS model in the perspective of culture and tourism integration, so as to provide theoretical and practical support for the tourism development of the region. On the basis of the concept of culture and tourism integration and its importance in tourism development, the evaluation index system of tourism attraction is constructed, including the indicators of tourism resources, tourism infrastructure, etc. Finally, the entropy weighting method and TOPSIS model are used for the comprehensive evaluation of these indicators, and the weight of each indicator and the comprehensive score of the tourism attraction of a certain place are derived through calculation. The results show that through the analysis of the TOPSIS model, the advantages and shortcomings of the region in terms of tourism resources and cultural characteristics can be clearly understood, and recommendations can be targeted, including strengthening tourism infrastructure construction, excavating and protecting cultural characteristics, and so on. These suggestions can help to further improve and enhance the tourism attractiveness of a certain place, so as to attract more tourists and promote the development of the local economy. Meanwhile, the methodology and framework of this study also provide reference and reference for other regions to carry out similar tourism attractiveness evaluation. In the context of cultural and tourism integration, this study expands the perspective of tourism evaluation and provides new ideas and methods for local tourism development.

Fei Liu. “Design and Application of a TOPSIS-Based Fuzzy Algorithm”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.12 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0151245

@article{Liu2024,
title = {Design and Application of a TOPSIS-Based Fuzzy Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151245},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151245},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Fei Liu}
}