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1.
CNC车床的故障概率模型   总被引:6,自引:0,他引:6  
本文从CNC车床的故障数据的采集入手,建立了CNC车床的故障数据库。应用模糊综合评价的方法对CNC车床的故障模型进行了分析  相似文献
2.
模糊信息处理在舰艇等级评估中的应用   总被引:4,自引:0,他引:4  
采用模糊信息综合处理的方法,对舰艇主要设备技术状态作综合处理,评估舰艇的技术状态等级,促进舰艇等级评估趋向科学化、规范化。  相似文献
3.
In the general problem of Parametric Point Estimation the Mean Squared Error often appears as a useful measure of goodness or closeness of estimates. Nevertheless, in very rare cases an estimator with smallest Mean Squared Error exists, but Statistical Inference provides a variety of methods to find estimates. that are usually characterized by a small Mean Squared Error.When the observation of outcomes from the probabilistic information system or experiment concerning the estimation problem involves fuzzy imprecision, so that the observable events are described by means of fuzzy events on the sample space, the use of Zadeh's probabilistic definition allows us to immediately extend the Mean Squared Error.In the present paper we are going to verify that the presence of fuzziness in experimental data entails a variation in that measure of goodnesss of estimation. On the basis of the last assertion the problem of selecting the suitable sample size, in order to remove the variation in the Mean Squared Error due to fuzziness or to estimate the parameter with a specified degree of precision, will be then discussed.  相似文献
4.
In previous papers, the consequences of the “presence of fuzziness” in the experimental information on which statistical inferences are based were discussed. Thus, the intuitive assertion «fuzziness entails a loss of information» was formalized, by comparing the information in the “exact case” with that in the “fuzzy case”. This comparison was carried out through different criteria to compare experiments (in particular, that based on the “pattern” one, Blackwell's sufficiency criterion). Our purpose now is slightly different, in the sense that we try to compare two “fuzzy cases”. More precisely, the question we are interested in is the following: how will different “degrees of fuzziness” in the experimental information affect the sufficiency? In this paper, a study of this question is carried out by constructing an alternative criterion (equivalent to sufficiency under comparability conditions), but whose interpretation is more intuitive in the fuzzy case. The study is first developed for Bernoulli experiments, and the coherence with the axiomatic requirements for measures of fuzziness is also analyzed in such a situation. Then it is generalized to other random experiments and a simple example is examined.  相似文献
5.
The absence of exactness in the observation of the outcomes of a random experiment always entails a loss of information about the experimental distribution. This intuitive assertion will be formally proved in this paper by using a mathematical model involving the notions of fuzzy information and fuzzy information system (as intended by Tanaka, Okuda and Asai) and Zadeh's probabilistic definition. On the basis of this model we are first going to consider a family of measures of information enclosing some well-known measures, such as those defined by Kagan, Kullback-Leibler and Matusita, and then to establish methods for removing the loss of information due to fuzziness by increasing suitably the number of experimental observations.  相似文献
6.
Conceptual data modeling has become essential for non-traditional application areas. Some conceptual data models have been proposed as tools for database design and object-oriented database modeling. Information in real-world applications is often vague or ambiguous. Currently, a little research is underway on modeling the imprecision and uncertainty in conceptual data modeling and the conceptual design of fuzzy databases. The unified modeling language (UML) is a set of object-oriented modeling notations and a standard of the object management group (OMG) with applications to many areas of software engineering and knowledge engineering, increasingly including data modeling. This paper introduces different levels of fuzziness into the class of UML and presents the corresponding graphical representations, with the result that UML class diagrams may model fuzzy information. The fuzzy UML data model is also formally mapped into the fuzzy object-oriented database model.  相似文献
7.
在其深层次机理上,港口物流系统竞争能力必受其物质技术支撑体系的制约.结合智慧港口和第五代港口基本理论,可得出深层次物质技术支撑体系主要有:物质资源禀赋、城市经济系统、物联网系统、港口经营系统、绿色效率系统等.以相关港口物流系统竞争力基本理论为指导,考虑到中国各港口的实际情况,结合数据获得的难易程度,分别从基础设施、发展环境、智慧技术、服务水平、低碳绩效五个方面遴选出18个评价指标,按照模糊信息熵理论,利用全国24个主要港口2001—2013年的原始数据,通过数学软件Matlab编程,计算出系统层指标的信息熵和权重及全国8个代表性港口2013年的竞争能力综合评价值,并以福建省福州港为例,对其进行横向比较和纵向时序分析.  相似文献
8.
近年来出现了许多用粗糙集理论处理各种信息系统的方法,但是对直觉模糊信息系统还没有做出相关的讨论.本文首先在不一致直觉模糊决策信息系统中定义了优势关系,然后引入基于此优势关系的分布约简、最大分布约简的概念,并通过可辨识矩阵及辨识函数得到求解这两种约简的具体方法.  相似文献
9.
利用优势关系,可对完备直觉模糊信息系统与决策信息表进行属性约简.将优势关系改进为广义优势关系,在此基础上构建了不完备直觉模糊信息系统与决策信息表的辨识矩阵,得到了求解属性约简与相对约简的具体方法.  相似文献
10.
以电子中介中买卖双方单数量同类商品交易为实际应用背景,研究了具有模糊信息的多属性商品交易优化匹配方法。首先,在给出模糊信息数学描述的基础上,从买卖双方视角提出了新的基于改进模糊信息公理的交易匹配度计算方法,由于该方法在计算中充分考虑了模糊信息情形下买卖双方对商品需求的满意程度,因而由其计算得到的交易匹配度更具有合理性和现实意义。接着,以最大化买卖双方交易匹配度为优化目标,建立了电子中介中具有模糊信息的单数量多属性商品交易匹配模型,并通过模型的求解获得最优的匹配结果。实例计算研究表明,本文提出的匹配方法是可行和实用的。  相似文献
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