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DOI: 10.14569/IJACSA.2025.0160256
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Using Fuzzy Matter-Element Extension Method to Cultural Tourism Resources Data Mining and Evaluation

Author 1: Fei Liu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 2, 2025.

  • Abstract and Keywords
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Abstract: This study explores the mining and evaluation of cultural and tourism resources based on fuzzy matter-element extension in the context of cultural and tourism integration. Through fieldwork and analysis of cultural and tourism resources, it is found that the fuzzy matter-element extension theory can be effectively applied to the mining and evaluation of cultural and tourism resources in the context of cultural and tourism integration. The application of integration of cultural and tourism resources has a significant driving effect in tourism development, which can effectively enhance the tourist experience and improve the visibility and attractiveness. Meanwhile, through field research and data analysis, this study also puts forward relevant improvement suggestions for the characteristics and actual situation of the research object, aiming at further optimising the development mode, realising the organic integration of culture and tourism resources, and promoting the prosperity and development of the local cultural industry. Overall, this study has certain theoretical and practical significance for promoting the integrated development of culture and tourism and the sustainable development of tourism.

Keywords: Cultural and tourism integration; fuzzy object meta-theory; development; organic integration

Fei Liu, “Using Fuzzy Matter-Element Extension Method to Cultural Tourism Resources Data Mining and Evaluation” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160256

@article{Liu2025,
title = {Using Fuzzy Matter-Element Extension Method to Cultural Tourism Resources Data Mining and Evaluation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160256},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160256},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Fei Liu}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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