华中科技大学学报：自然科学版2012，Vol.40Issue(10)：95-100,6.
基于含熵期望曲线的云模型相关性度量方法
Pertinence measurement of cloud model by using expectation-entropy curves
摘要
Abstract
To improve pertinence measurement of cloud model because of its lack of necessary condi- tion restrictions, an improved approach based on expectation-entropy curves was proposed. The ratio of "And Area/Or Area" of cloud model was used as benchmark to solve the interval restriction and semi-cloud measurement problems. Using restriction on three times of entropy restriction to increase assemble of droplets, calculating cost was decreased. Considering the emphasis of cloud thickness, hyper-entropy was introduced to compute the pertinence. Comparing with distance measurement method that oriented random droplets and digital characteristics conversion method, this approach e- liminates high time complexity and high instability of outcomes. At the same time, it meets practical requirements under three types of restrictions. Test shows that this approach can measure pertinence of cloud model objectively and effectively, and can be validated in system evaluation tasks by using cloud model.关键词
云模型/相关性/度量方法/条件约束/任务评价/超熵Key words
cloud model/pertinence/measurement method/condition restriction/task evaluation hyper entropy分类
信息技术与安全科学引用本文复制引用
阎岩,唐振民..基于含熵期望曲线的云模型相关性度量方法[J].华中科技大学学报：自然科学版,2012,40(10):95-100,6.基金项目
国家自然科学基金资助项目（90820306 （）
61175082） （）
高等学校博士学科点专项科研基金资助项目（20093219120025）. （）
