基于改进粗糙熵的大坝服役性态推理

Dam Service Behavior Reasoning Based on Improved Rough Set Entropy

大坝监测多源效应量权重的确定对融合分析推理及识别大坝服役性态,进而实现大坝安全监控具有重要意义。大坝多源效应量评价系统具有随机性和不确定性特点,合理度量该系统的不确定性是实现大坝服役性态准确推理的前提。基于经典粗糙集理论,在阐述现有研究方法所不足的基础上,借鉴已有研究成果,提出了分别利用粗糙度和粗糙熵刻画大坝系统集合边界不确定性和知识不确定性,并将两者有机结合,构建大坝系统不确定性度量的改进粗糙熵模型。最后结合具体工程实例,实现了大坝监测多源效应量赋权及大坝服役性态合理推理,为大坝监测多源效应量融合分析及评价提供一种新思路。

It is very significant for reasoning dam service behavior according to the results of fusion analysis and achieving dam safety monito- ring to determine the weight of muhi-effect quantities. The dam multi-effect quantity evaluation system has the characteristics of randomness and uncertainty, so measuring the uncertainty of dam system is the premise to achieve the reasons of dam service behavior accurately. The rough degree and rough entropy are proposed to describe and measure the uncertainty of set boundary and uncertainty of knowledge respective- ly after using existing research results for reference based on classical rough set theory and the limitation of existing research. The improved rough entropy model of dam system uncertainty measurement is built after combining the rough degree and rough entropy organically. Finally, taking an engineering project for example, the aims of the weight calculation of dam multi-effect quantities and the reasonable reasoning of dam service behavior have been realized. A new way of thinking is provided for the dam multi-effect quantities fusion analysis and evaluation.