作者: B. Mazzorana , H. Trenkwalder-Platzer , M. Heiser , J. Hübl
DOI: 10.1111/JFR3.12333
关键词: Set (abstract data type) 、 Statistics 、 Rough set 、 Hazard (logic) 、 Structure (mathematical logic) 、 Mathematics 、 Mountain stream 、 Masonry 、 Data set 、 Residual
摘要: In this work, a Rough Set Analysis-based approach is proposed to quantify the damage susceptibility of check dams through specific indexes, which all require expert judgment be quantified. The indexes are Post-Event Damage Condition (DamPost), induced Change (DamCh), Residual (RC), and Functionality (FPost). Preliminarily, an existing data set, containing quantification associated characterisation flow process type three torrential hazard events occurred in South Tyrol (Italy), identification construction material determination age structure, was statistically analysed. To predict based on Analysis, general model, considered regardless their material, two models, for concrete masonry structures respectively, simplified version model were set up. derived rule bases exhibited satisfactory prediction accuracies only when post-event functionality, FPost, chosen. Prediction 68% 79% category concrete, 60% masonry, 86% could obtained by simplifying decision attribute binary form (functionality given or not).