基于改进模糊综合评价的旱情评估模型  

Drought evaluation model based on improved fuzzy comprehensive evaluation

作　　者：杨太明[1] 李敬明[2] 何彬方[1] 

机构地区：[1]安徽省气象科学研究所安徽省大气科学与卫星遥感重点实验室,合肥230031 [2]合肥工业大学管理学院,合肥230009

出　　处：《计算机应用》2012年第A02期41-44,共4页journal of Computer Applications

基　　金：国家科技支撑计划项目(2006BAD04B04);国家公益行业(气象)科研专项(GYHY201106027);国家自然科学基金资助项目(71271071)

摘　　要：通过对降水量、土壤相对湿度及植被供水指数等三个反映旱情的指标进行介绍,就传统综合评价法在权重确定方面的随意性和主观性问题,提出一种基于信息熵与层次分析法的改进模糊综合评估模型。该模型利用层次分析法计算主观权重,利用信息熵计算客观权重,并进行权重拟合,从而得到综合权重,最后计算出综合评价结果。经过和其他评估方法相比,该模型的评估结果更为合理、准确。Amount of precipitation, soil humidity and vegetation supply water index which are index collections of reflecting drought were introduced in this paper. Due to the casualness and subjectivity problem about weight decision in traditional method, a fuzzy comprehensive evaluation model based on information entropy and Analytic Hierarchy Process （AHP） was proposed. The subjective weight was computed by use of the AHP, and the objective weight was based on the entropy weight. Then the subjective and objective weights were united, and consequently the comprehensive weights were obtained through weight fitting. Finally, the comprehensive results are got. Compared with other evaluation methods, the results which are calculated by fuzzy comprehensive evaluation based on information entropy and AHP are more scientific and accurate.

关 键 词：旱情 信息熵 层次分析法 模糊综合评估 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]