fuzzy information retrieval
英 [ˈfʌzi ˌɪnfəˈmeɪʃn rɪˈtriːvl]
美 [ˈfʌzi ˌɪnfərˈmeɪʃn rɪˈtriːvl]
网络 模糊情报检索; 模糊信息检索
双语例句
- A Chinese Section Fuzzy Matching Information Retrieval System Based on Lucene
基于Lucene的语段模糊匹配中文检索系统设计与实现 - Simulation and practical application show that the design retrieval method based on Neural Network is better and more effective than the general method based case similarity, especially in the design retrieval for fuzzy requirement information, the retrieval result is more flexible.
仿真和实例表明，基于神经网络的设计检索方法优于一般的基于相似性范例的检索方法，尤其在基于模糊客户需求信息进行设计检索时，相应的检索效果和柔性更好。 - By modeling for the fuzzy requirement information, the model for design retrieval is more adapt to the design reuse engineering fact.
并且通过对模糊需求信息的建模，使设计检索模型更适合于表达设计重用的工程实际。 - The fuzzy mathematical model Z and the Boolean model z_o of information retrieval systems
非常规检索法的FUZZY集上FUZZY关系模型Z和布尔集上布尔关系模型Z0 - The Fuzzy Logical Model uses the concepts of fuzzy logic and prototypes while the Cohort Model includes all possible sources of information as factors that interact in word retrieval.
模糊逻辑模型运用模糊逻辑和原型的两个概念生动明确地描述了言语听辨的过程和言语在记忆中的储存情况。交股模型将各个层面的因素及影响都包括在言语听辨的过程中。 - Fuzzy Clustering Based Personalized Information Retrieval on the Web
基于模糊聚类的个性化Web信息检索系统研究 - In the dissertation, content-based image retrieval methods are studied based on information theory and fuzzy set theory, and several techniques, information entropy-based image retrieval, similarity measurement of image entropy, fuzzy index, dynamic relevant feedback are presented.
本文将信息论和模糊集理论运用于基于内容图象检索方法的研究，重点研究了基于信息熵的图象检索技术、图象相似性度量方法、模糊检索和动态相关反馈机制。 - This paper analyses fuzzy clustering ( SOM clustering algorithm) based personalized information retrieval on the web, including user personalized fuzzy clustering and fuzzy clustering of web information, and discusses respectively to carry out the process.
本文利用模糊聚类的原理（神经网络SOM算法）提出一种个性化WEB信息检索系统结构，包括用户个性化模糊聚类和网络信息模糊聚类，并分别论述其实现过程。 - In this paper, a new type of information retrieval system was designed using rough set theory and fuzzy set knowledge. A new information retrieval method was advanced.
本文应用Rough集理论和模糊集知识研究一种新的情报检索系统，提出了新的情报检索方法。 - Applying fuzzy cluster algorithm to Web information retrieval
模糊聚类算法在Web信息搜索中的应用 - Fuzzy information retrieval on seismicity in Urumqi
乌鲁木齐地区地震活动的模糊信息检索 - Application of the Fuzzy Theory in Information Retrieval
模糊理论在信息检索中的应用研究 - Application of Fuzzy Measure in Information Retrieval Evaluation
模糊集方法在检索评价系统中的应用 - Studies on the Fuzzy Model of Information Retrieval System Based on the Einstein Operator
Einstein算子上模糊检索模型研究 - Application of Fuzzy Theory in Information Retrieval
模糊理论在信息检索上的应用 - Fuzzy Semantic Distance-based Information Retrieval in Multimedia Databases
基于模糊语义距离的多媒体信息检索方法研究 - Fuzzy message retrieval is used by data base management system and information retrieval system frequently.
模糊信息检索，是数据库管理信息系统和情报检索系统中经常遇到的问题。 - A fuzzy integral algorithm of the distributed information retrieval is derived and given to merge the distributed information retrieval result set.
对分布式信息检索的结果集采用模糊积分进行了融合，推导并给出了分布式信息检索的模糊积分算法。 - The fuzzy mathematics methods used include the fuzzy clustering analysis, fuzzy information retrieval, 'he fuzzy recognition of quiet anomaly of seismic activity and the fuzzy selfsimilarity.
使用的模糊数学方法则有模糊聚类分析、模糊信息检索、地震活动平静异常的模糊识别与模糊自相似等方法。 - Therefore, as a new concept, the semantic Web rough fuzzy ontology is tried to be discussed, and its definition, model, constructing method, and application in information semantic retrieval are researched. Firstly, the meaning of the rough fuzzy concept lattice is defined.
本论文尝试探讨了语义Web粗糙模糊本体的概念，并具体地研究了其定义、模型、构建算法及其在信息语义检索中的应用。首先，界定粗糙模糊概念格的语义。 - A semantic Web rough fuzzy ontology with actual application background is constructed, and then a prototype of information semantic retrieval system is designed and implemented. The precision ratio, recall ratio and retrieval time of the prototype are tested.
构建了一个具有实际应用背景的语义Web粗糙模糊本体，以此为基础，设计与实现了一个信息语义检索系统的原型，并验证了其查准率、查全率和检索时间。 - Based on this, the OWL representation method of the semantic Web rough fuzzy ontology is researched. Fourthly, an information semantic retrieval model based on the semantic Web rough fuzzy ontology is put forward.
以此为基础，研究了语义Web粗糙模糊本体的OWL表示方法。继之，提出基于语义Web粗糙模糊本体的信息语义检索模型。