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- Research on a Dynamic Fuzzy Data Model 动态模糊数据模型研究
- A regressive model of dynamic fuzzy data and its application 模糊数据的回归模型及其应用
- Research on a Decomposition Model and it's Applications of Dynamic Fuzzy Data 动态模糊数据的分解模型及应用研究
- dynamic fuzzy data 动态模糊数据
- Based on Dynamic Fuzzy Set, the Dynmic Fuzzy Measure theorem is proposed in this paper. 基于动态模糊集;提出动态模糊测度理论.
- On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed. 摘要以一种进化聚类算法(ECM)为基础,提出了一种新的T-S型动态模糊推理模型的建模算法。
- This thesis gives a theoretical fuzzy RDBMS model, which employs fuzzy set to express the fuzzy data, fuzzy query and fuzzy relation. 如何表达模糊数据,如何执行模糊查询越来越成为数据库研究的重要课题之一。
- Based-on Dynamic Fuzzy Logic, we proposed a DFL agent logical model and a problem solving model based on multi-agent. 基于动态模糊逻辑(DFL)给出了DFL agent的逻辑模型,建立一个基于多agent的问题求解模型。 主要包括以下几个方面的工作:
- Besides, the urstoff evaluation methods of fuzzy data entropy can also be used for ranking and classifying of other engineering. 此外,模糊信息熵物元评价方法还可用于其他工程的排序与分类问题。
- A new fuzzy data-model method has been gaven after studying the fuzzy knowledge representation.This method describes fuzzy data with fuzzy relation of attribute weight. 研究了模糊知识的表示方法,提出了一种表示模糊知识的模糊数据模型,利用属性加权模糊值来表示模糊性数据。
- Research on A Dynamic Fuzzy Relation Data Model 动态模糊关系数据模型研究
- Under the background of integrating fuzzy information into ERP, the concerns of fuzzy database design and related fuzzy data processing techniques on RDB are discussed. 摘要以模糊数据与ERP的融合应用为背景,探讨了关系数据库上模糊数据库表的设计及相关的数据处理技术。
- This thesis tried to do some researches on reasoning model of DFL, because there were only simple models on the aspect and we wished to enrich the dynamic fuzzy theory system. 因此,本文试图在动态模糊逻辑(DFL)的推理方面做些工作,以进一步丰富动态模糊逻辑(DFL)的内容。
- But, in the Similarity-Based fuzzy data model, the resemblance relation of redundant tuples has transitivity, and when merging the tuples, there is no previous problem. 而在相似型模糊资料模式中,值组间相似度所构成的关系具有递移性,故合并时不会发生前者的问题。
- Due to this,propose default assumption reasoning based on DFL. Here,introduce the reasoning frame,dynamic fuzzy knowledge representation,reasoning algorithms and so on. 因此文中针对研究对象以及它们之间的动态模糊性,提出了基于动态模糊逻辑(DFL)的缺省假设推理,并给出了缺省假设推理的框架描述、动态模糊(DF)知识的表示以及推理算法等。
- In practice,fuzzy data were gathered at first,and then base liquor was judged according to fuzzy seasoning rules to determine proper flavor-treating program. 首先采集模糊化的品评数据,采用模糊推理准则对基础酒进行评判,从而确定调味方案。
- And three primary parts of fuzzy controller, which are interface of acutance data fuzzed, fuzzy control rules and arithmetic and interface of fuzzy data been legible. 详细描述了模糊控制器设计所包含的三个主要部分:清晰量的模糊化接口、模糊控制规则及算法及模糊量的清晰化接口。
- This paper gives a kind of software Agent model based on Dynamic Fuzzy Logic (DFL) in accordance with characteristics of software Agent, such as Reactivity, Autonomy , Pro-activeness, Evolution, Socialability, and so on. 针对软件Agent的反应性、自治性、自发性、可进化性、社会性等特点,本文基于动态模糊逻辑(DFL),给出了一种软件Agent模型,其内容包括软件Agent的生命周期模型、生理周期模型、学习进化模型、体系结构和协调组织模型等方面。
- Dynamic Fuzzy Logic (DFL) has been a universally focuse of researchers'attention since Li Fanzhang et al, published"A dynamic fuzzy logic system"in 1996. Now there are many research results on DFL. 自1996年李凡长等人发表了“A dynamic fuzzy logic system”以来,动态模糊逻辑(DFL)的研究已被广泛关注,目前已取得了一系列成果。
- The computations for Average Run Length of CUSUM control chart in Fuzzy enviornment are discussed by means of extending traditional Markov chain methods to Fuzzy data valued random process (production process) control chart. 探讨累计和控制图在模糊环境下平均游程长度的计算方法 ,将普通马尔科夫链方法推广到取值于Fuzzy数据的随机过程 (生产过程 )控制图