- 模糊分析
- fuzzy: adj. 1.有茸毛的，覆着细毛的，如茸毛的。 2.不清 ...
- analysis: n. (pl. -ses ) 1.分解，分析；【数学】解 ...
- analysis of a fuzzy function: 模糊函数的分析
- analysis of fuzzy functions: 模糊函数分析
- fuzzy data analysis: 模糊数据分析
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fuzzy analysis中文什么意思
- 模糊分析
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例句与用法
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- Aiming at four analysis measures - spectrometric , ferro graphic , routine , and particulate counting , the author has established time - sequence model based on fuzzy estimation regulations , tentatively provided analysis standard criterion for failure analysis , and proposed fuzzy systematized model for diagnosis system of lubricant monitoring expert ; employing mathematical methods of fuzzy analysis , the author has established analytical synthetic evaluation model , analyzed the reasonability of analytical measures in lubricating oil and equipment condition evaluation , and provided extraction method model of information regulations for diagnosis system of lubricant monitoring expert by means of analyzing par ameters
针对光谱、铁谱、常规理化、颗粒计数四种分析手段，建立了基于模糊判断规则的时序模型，并建立了轮机油液监控专家诊断系统所需的模糊分类器模型；采用模糊分析的数学方法，建立了综合分析评判模型，并对各分析手段在润滑油评定和评判设备状态时的合理性进行阐述，为轮机油液监控智能诊断专家系统提供了一种通过特征参数分析与处理，建立的规则信息提取方法和模型。 - Put above hypotheses together we can propose a comprehensive solving alternative to in hence decision making effectiveness for agricultural project investment : to build fuzzy analysis hierarchy process based on entropy and fuzzy multi - attributes decision making models in the model base of agricultural project investment gdss . we can to adopt group advices and experiences , promote the opinion integration and improve the solving methods of ill - structured problems that supported by group decision support system
按照这一概念框架，作者提出提高农业项目投资群体决策效果的整体解决思路：建立基于熵权的模糊层次分析法，以及模糊多属性群体决策模型的农业项目投资群体决策支持系统模型库；通过群体决策支持系统的支持，充分考虑决策群体的决策思想及经验，促进意见集结，改进结构不良问题的解决。 - Three characteristic features , such as average velocity of sound , deviation coefficient of sound velocity , and deviation coefficient of amplitude are extracted from four kinds of testing data which are sound velocity , amplitude , frequency and waveform in this paper . fuzzy analysis and artificial neural network are combined to form an intelligent system with similar functions to human brain to classify grc , aerated concrete , hollow brick , solid brick and concrete block . the accuracy of this system is up to 95 % in field tests
由超声脉冲法获得4种检测信息声速、波幅、频率和波形，从中提取3个特征量：平均声速、声速的离差系数和波幅的离差系数，利用模糊分析方法和人工神经网络相结合对grc 、加气混凝土、空心砖、实心砖、砌块5种墙体材料进行种类识别，形成一个智能化的、具有类似人脑功能的系统.经现场实测证明，判别的准确率达95 %以上。