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- W4225717802 abstract "In the era of big data, the data is collected and applied in every aspect of life. Establishing a reasonable architectural heritage evaluation indicators system is the key of architectural heritage evaluation. According to the connotation of architectural heritage and the standard of eliminating duplicate information and the standard of the maximum weighted <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <mi>R</mi> </math> cluster grade, this paper constructs an architectural heritage evaluation indicators system through quantitative approaches of <math xmlns=http://www.w3.org/1998/Math/MathML id=M2> <mi>R</mi> </math> cluster and rough set analysis. The contribution lies in the following: Firstly, it uses the method of square-sum of dispersion to classify the evaluation indicator criterion of the same guideline, which ensures the different indicators reflect information that is different. Secondly, it uses the rough set analysis to solve the weighted rough set grade of each indicator of the similar, then screening the indicator that contain the maximum weighted rough set, in which ensuring the selected indicator is the most significant influence to the evaluation result. Thirdly, through quantitative approaches of <math xmlns=http://www.w3.org/1998/Math/MathML id=M3> <mi>R</mi> </math> cluster and rough set analysis, establishing the architectural heritage evaluation indicators system composed of 18 indicators includes three guidelines: heritage historical value, heritage artistic value, and heritage scientific value." @default.
- W4225717802 created "2022-05-05" @default.
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- W4225717802 date "2022-04-04" @default.
- W4225717802 modified "2023-09-30" @default.
- W4225717802 title "Establishment of Architectural Heritage Evaluation Indicator System Based on Cluster Analysis in the Era of Big Data" @default.
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- W4225717802 doi "https://doi.org/10.1155/2022/9211435" @default.
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