Research on Drought Forecast Based on Rough Set Theory
The less predictable characteristics of droughts make drought both a hazard and a disaster: a hazard because it is a natural accident of unpredictable occurrence but of recognisable recurrence, and a disaster because it causes the disruption of the water supply to the natural and agricultural ecosystems as well as to other human activities. What make less predictable characteristics of droughts is its uncertainty, fuzzification and gray properties. Rough set theory was introduced to conduct drought forecast problem in the paper for its advantages in dealing with uncertain and incomplete problems. a case study was carried out, and the rules for drought forecast was acquired in the light of data selection, preprocessing, attributes reduction, rules generation and filtering, which could be used in drought forecast for the study area. In general, the results showed that it was quite successful with the application of rough set theory in the forecast of drought severity.
knowledge discovery rough set droughts forecast rules generation
Liu Zhao Qiao Chang-lu
Changan University Institute of water and development,Changan University, Xian, China Changan University Institute of water and development, Changan University, Xian, China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
318-322
2009-12-26（万方平台首次上网日期，不代表论文的发表时间）