Improved Attribute Interval Evaluation Theory for Risk Assessment of Geological Disasters in Underground Engineering and Its Application
| Autor: | Zhang Qi, Zongqing Zhou, Meixia Wang, Liping Li, Geng Yang, Weimin Yang, Ding Ruosong, Shi Shaoshuai |
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| Rok vydání: | 2020 |
| Předmět: |
Measure (data warehouse)
Index (economics) Computer science business.industry 0211 other engineering and technologies Soil Science Geology 02 engineering and technology Interval (mathematics) 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology computer.software_genre 01 natural sciences Set (abstract data type) Software Feature (computer vision) Architecture Engineering disasters Data mining Risk assessment business computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Geotechnical and Geological Engineering. 38:2465-2477 |
| ISSN: | 1573-1529 0960-3182 |
| Popis: | Based on the theory of attribute mathematics, this paper improves on the attribute interval evaluation theory. The main feature is that the evaluation index is an interval rather than a certain value. Using single index attribute analysis of the upper and lower limits of the interval, the paper proposes two calculation methods for the multiple index synthetic attribute measure. Based on the original AIET software, we develop a new set of software packages (NEW AIET) that can automatically complete a large number of calculations in a few seconds. Via engineering application, the accuracy and feasibility of geological disaster risk assessment are verified and can be used to better evaluate engineering disaster risk. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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