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A rule-based weighted rating system forconcrete culverts

 

作者: FabianC. Hadipriono,   RichardE. Larew,   Barry Wong,  

 

期刊: Civil Engineering Systems  （Taylor Available online 1988）
卷期: Volume 5, issue 2  

页码: 99-103

 

ISSN:0263-0257

 

年代: 1988

 

DOI:10.1080/02630258808970511

 

出版商: Taylor & Francis Group

 

关键词: artificial intelligence;expert system;culvert;inspection

 

数据来源: Taylor

 

摘要:

This paper demonstrates the use of a rule-based weighted rating system (RWRS) developed for improving the rating of concrete culverts. RWRS combines the qualitative rating based on a guideline commonly used by the Department of Transportation, the quantitative rating based on a regression model, and the inspector's own judgment on the culvert's rating. Weight on each rating is provided by the supervisor. A case study is presented to demonstrate the use of RWRS.

 

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