Systematic Method for Monitoring and Early-Warning of Garden Heritage Ontology Used in the Suzhou Classical Garden Heritage

A systematic method for monitoring and early-warning of garden heritage ontologies, applied to the Suzhou Classical Gardens, demonstrates how fuzzy cluster analysis can integrate qualitative and quantitative indicators to assess heritage states. This approach enables matching heritage conditions with specific warning grades through data similarity matrices, membership matrices, and fuzzy equivalence matrices. The model, tested on five types of heritage ontologies comprising 27 monitoring indicators, leverages MATLAB for precise early-warning results. Its adaptability allows for expansion or refinement of heritage categories, making it a robust tool for comprehensive heritage assessment.

Zhao, J., Wen, R., & Mei, W. (2020). SYSTEMATIC METHOD FOR MONITORING AND EARLY-WARNING OF GARDEN HERITAGE ONTOLOGY USED IN THE SUZHOU CLASSICAL GARDEN HERITAGE. Journal of Environmental Engineering and Landscape Management, 28(4), 157–173. https://doi.org/10.3846/jeelm.2020.13785