文章摘要
周晓蔚,王丽萍,李安强,张验科.水蚀荒漠化的最大熵模糊优化评价模型[J].水土保持研究,2008,(1):145~147
水蚀荒漠化的最大熵模糊优化评价模型
Model of the Water-eroded Desertification Quality Fuzzy Assessment Based on Maximum Entropy
投稿时间:2006-11-08  
DOI:
中文关键词: 水蚀荒漠化  不确定性  模糊性  Shannon熵  最大熵原理  评价方法  水蚀荒漠化  最大熵  模糊优化  评价模型  Maximum Entropy  Based  Assessment  Fuzzy  Quality  Desertification  不确定性  分级决策  Shannon  结果  糊综合评判  最优  指标  植被指数  土壤有机质  土壤厚度
英文关键词: water-eroded desertification  uncertainty  fuzziness  shannon entropy  maximum entropy principle  evaluation method
基金项目:
周晓蔚  王丽萍  李安强  张验科
[1]华北电力大学能源与动力工程学院水资源与水利水电工程研究所,北京102206 [2]武汉大学水资源与水电工程科学国家重点实验室,武汉430072
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中文摘要:
      基于最大熵原理,应用模糊集合论中的隶属度等概念,综合考虑土地水蚀荒漠化评价的随机性和模糊性,定义加权广义距离表征待评价土地样本与标准样本的差异,建立最大熵模糊优化评价模型.通过实例,选择沟谷密度、坡度、土壤厚度、土壤有机质和植被指数等5项指标,给出土地样本的水蚀荒漠化最优分级;对比模糊综合评判,所建模型评价结果具有较小的Shannon熵,即分级决策具有较小的不确定性.
英文摘要:
      Based on the Principle of Maximum Entropy and the concept of relative membership degree in the theory of fuzzy set, through considering the complexity and uncertainty of land ecology system, as well as defining the difference attributed by generalized weighted distances between soil samples and standard samples,a Fuzzy Assessment model based on Maximum Entropy is promoted. A concrete example, which studies on the five indices,including cutting density, slope,soil thickness, soil organic matter content, and vegetation to show the optimum degree of water-eroded desertification was given in detail. Through comparison with the results of the model only considering fuzziness, the results derived from the present models has smaller Shannon entropy, namely the cascade decision making has less uncertainty.
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