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1)  fuzzy relative evaluation
模糊相对赋值
1.
Using similar coefficient method in fuzzy clustering analysis, six evaluation indices were confined to appraise urban parking facilities planning, how to calculate the indices was given, fuzzy relative evaluation means was applied to express the indices, which are difficult to fix quantify directly.
采用模糊聚类的相似系数法确定了城市停车设施规划方案6项评价指标,对选定指标进行了计算表达分析,其中难以直接量化者采取了模糊相对赋值方法。
2)  Fuzzy truth valuations
模糊赋值
3)  fuzzy probability assignment
模糊概率赋值
1.
To enhance the intrusion detection system with more accuracy and less false positive rate while still providing acceptable performance and adaptability,a Bayesian anomaly intrusion detection system using fuzzy probability assignment is presented in the paper.
同简单使用阈值方法的贝叶斯入侵检测模型相比,采用了模糊概率赋值的贝叶斯异常检测模型,在提高对问题描述的精确性同时,由于它对多种类型安全相关事件提供支持而具有更好的适应性,可以更全面地对更复杂的系统行为进行建模。
4)  semantic fuzzy evaluation
模糊语义赋值
1.
The results as below: first, intensity and complexity are two different dimensions for emotion evaluation and the results of semantic fuzzy evaluation to emotional adjectives on them are not necessarily related; secondly, the semantic .
结果表明:①强度和复杂度是两个不同的情绪评定维度,两者间的情绪形容词模糊语义赋值结果没有必然联系。
5)  fussy percentage valuation
模糊百分制赋值
6)  Fuzzy cross entropy
模糊相对熵
1.
The notion of Fuzzy cross entropy, quasi Fuzzy information discrepancy and Fuzzy information discrepancy are defined based on the notion of entropy and distance The theory of its uniqueness and its properties are discussed.
定义了模糊相对熵,基于模糊熵和距离定义了模糊信息差异、拟模糊信息差异,并讨论了模糊信息差异唯一性定理以及模糊信息差异的性质。
补充资料:相对Rf值
分子式:
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性质:又称相对比移值。待测组分比移值与参比物比移值之比称为相对比移值。

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