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Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)最新文献

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Ontology Mapping Based-on Angle Degree of Approaching 基于逼近角度的本体映射
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.431
Kangyin Yin, Zi-lin Song, Weihua Ai, Yaxin Yi
{"title":"Ontology Mapping Based-on Angle Degree of Approaching","authors":"Kangyin Yin, Zi-lin Song, Weihua Ai, Yaxin Yi","doi":"10.1109/FSKD.2007.431","DOIUrl":"https://doi.org/10.1109/FSKD.2007.431","url":null,"abstract":"Ontologies are playing an important role in semantic Web. Ontology mapping is an effective method to solve the problem of ontology heterogeneity and to realize the interoperation among semantic web applications which use different ontologies. Instances and structures are important factors to establish ontology mapping, however, existing ontology mapping methods combine the results of different strategies with weighted average and the weights are subjective. In this paper, the angle degree of approaching is proposed according to the principle of fuzzy mathematics and is applied to similarity measure. Similarity measure based-on approach degree expresses all the similarities between different factors with vectors respectively, and combines them. In the end, the experimental results show this method is more objective and can calculate the similarities more accurately than the other methods.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125946514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A New Control Method Based on Flexible Logic 一种基于柔性逻辑的新型控制方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.72
Li-hua Fu, Huacan He
{"title":"A New Control Method Based on Flexible Logic","authors":"Li-hua Fu, Huacan He","doi":"10.1109/FSKD.2007.72","DOIUrl":"https://doi.org/10.1109/FSKD.2007.72","url":null,"abstract":"Fuzzy control is based on fuzzy control rules, provided by experts, to control complex systems. The fuzzy control rules describe rudely the relation between input and output of controller. So Fuzzy controller is in essence a piecewise approximator. As a result, fuzzy control has two shortcomings in the process of controlling some practical complex systems. One is that control rules will increase exponentially with the increasing of the number of inputs, and the other one is that the precision of control system is not high. By analyzing thoroughly the essential relation between two input variables of the normal two-dimensional fuzzy controller, this paper proves that the essential relation is just universal combinatorial relation in universal logic. So the simple universal combinatorial operation can be used instead of complex fuzzy reasoning process. As a result, a flexible logic control method is proposed to realize the accurate control for complex system. Finally, the experimental result of single inverted-pendulum physical system has proved the correctness and effectiveness of the control method.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129489458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data Mining Used in Rule Design for Active Database Systems 数据挖掘在主动数据库系统规则设计中的应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.236
Min Dai, Ya-Lou Huang
{"title":"Data Mining Used in Rule Design for Active Database Systems","authors":"Min Dai, Ya-Lou Huang","doi":"10.1109/FSKD.2007.236","DOIUrl":"https://doi.org/10.1109/FSKD.2007.236","url":null,"abstract":"Rule design is very important for active database system implementation. But, it is also very difficult for us because of lacking methodology and support. In the paper, active rule design is regarded as a whole process and identified to three steps: rule extraction, rule analysis, and rule update. Data mining technique is originally introduced into rule design by us to cope with the problems arisen in active semantic extraction, termination analysis of rules set, and rules update. Rule mining methods are adopted to extract active semantics, and the discovered rules are used to assist active rule specification. Data mining technique is integrated with the triggering graph to improve the accuracy of termination analysis. Finally, data mining technique is used to identify new semantics and determine which rules should be updated.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129696709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Fuzzy Reliability Analysis of an iSCSI-Based Fault Tolerant Storage System Organization 基于iscsi的容错存储系统组织的模糊可靠性分析
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.332
Minghua Jiang, Jing-li Zhou, Ming Hu
{"title":"Fuzzy Reliability Analysis of an iSCSI-Based Fault Tolerant Storage System Organization","authors":"Minghua Jiang, Jing-li Zhou, Ming Hu","doi":"10.1109/FSKD.2007.332","DOIUrl":"https://doi.org/10.1109/FSKD.2007.332","url":null,"abstract":"ISCSI is a newly emerging protocol with the goal of implementing the storage area network (SAN) technology over TCP/IP, which brings economy and convenience whereas it also raises performance and reliability issues. This paper presents a implementation of iSCSTbased fault tolerant storage system, and then analyzed the reliability of this system by combination of fuzzy logic and Markov modeling. This reliability method is a technique for analyzing fault tolerant designs under considerable uncertainty, such as is seen in compilations of component failure rates, the presented model provides the estimation of the lower and upper boundary of iSCSTbased fault tolerant storage system with a single run of the model.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129715650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A New Methodology for Building Ontology Based on Reusing the Heterogeneous Ontologies 基于异构本体重用的本体构建新方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.87
Qing Yao, Qingxian Wang, Yan Liu, Qiang Wang, Junyong Luo
{"title":"A New Methodology for Building Ontology Based on Reusing the Heterogeneous Ontologies","authors":"Qing Yao, Qingxian Wang, Yan Liu, Qiang Wang, Junyong Luo","doi":"10.1109/FSKD.2007.87","DOIUrl":"https://doi.org/10.1109/FSKD.2007.87","url":null,"abstract":"Building ontology is a craft rather than an engineering activity. Many research institutions spend a great deal of money, material, manpower and time but the results are still very superficial and immature. An effective approach to construct ontology is demanded urgently. For this purpose, we propose a new method, BBR (build by reuse) in this paper. With this method, you needn't formalize concept by experts every time. However the exactitude could be ensured. Furthermore, ontology built by this method covers conceptions of domain in maximum and has stronger extensibility.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128611939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Data Types of DFL Programming Language DFL编程语言的数据类型
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.238
Xiaofang Zhao, Hui Fan, Xiaohua Liu
{"title":"Data Types of DFL Programming Language","authors":"Xiaofang Zhao, Hui Fan, Xiaohua Liu","doi":"10.1109/FSKD.2007.238","DOIUrl":"https://doi.org/10.1109/FSKD.2007.238","url":null,"abstract":"The dynamic fuzzy logic (DFL) programming language can deal with dynamic fuzzy data that is the special difference from other programming languages. In order to implement DFL programming language, some suitable data types of it also should be defined. This paper describes primitive data types of DFL programming language and the mechanism of constructing other data types through extending the primitive data types. With the aim of concretely analyzing dynamic fuzzy data, it is necessary to modify the classical lambda calculus by adding a dynamic fuzzy degree to each term.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128685276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Fuzzy System Based on Class Association Rules 基于类关联规则的模糊系统
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.338
R. Jia, Yibo Zhang
{"title":"Fuzzy System Based on Class Association Rules","authors":"R. Jia, Yibo Zhang","doi":"10.1109/FSKD.2007.338","DOIUrl":"https://doi.org/10.1109/FSKD.2007.338","url":null,"abstract":"Fuzzy system has been proved to be a universal approximator, yet the curse of dimensionality is still the unsolved problem for it. Class association rules (CARs) are interesting and frequent patterns derived from data through adapted Apriori algorithm. Using CARs to build the fuzzy rule base of fuzzy system can solve the curse of dimensionality problem effectively. Thus, a novel fuzzy system based on CARs is proposed in this paper. The process of how to build the fuzzy system and its whole execution are presented in detail. Furthermore, comparative experiments are also made to prove the effectiveness of the presented strategy.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129820374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Sensor Failure Management Method Based on Fuzzy Neural Network 基于模糊神经网络的传感器故障管理方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.121
Jianjun Ni, Xiao-ping Niu
{"title":"A Sensor Failure Management Method Based on Fuzzy Neural Network","authors":"Jianjun Ni, Xiao-ping Niu","doi":"10.1109/FSKD.2007.121","DOIUrl":"https://doi.org/10.1109/FSKD.2007.121","url":null,"abstract":"The sensor management is a new technology, which is developing quickly with the information fusion technology, and become the key part of the information fusion system to improve its performance and function. The sensor failure management is one of the important tasks of the sensor management system, and is present problem under hot discussion. Aim at the different type of the sensor failure, a new method based on fuzzy neural network is presented and the effects of it are studied by computer simulation. The results show that the method based on fuzzy neural network can satisfy the requirements of the sensor failure management, and reduce the fusion data fluctuate and the error of sensor management system very well.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127057636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Boolean Filters and Prime Filters of Residual Lattices 残差格的布尔滤波器和素数滤波器
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.206
Yongquan Wang, Xiao-hong Zhang, Zhiqing Shao
{"title":"Boolean Filters and Prime Filters of Residual Lattices","authors":"Yongquan Wang, Xiao-hong Zhang, Zhiqing Shao","doi":"10.1109/FSKD.2007.206","DOIUrl":"https://doi.org/10.1109/FSKD.2007.206","url":null,"abstract":"Residual lattice play an important role in the study of fuzzy logic based on t-norm. In this paper, we introduce the notions of Boolean filter in residual lattices, and therefore generalize the corresponding results which shown in BL-algebras by E. Turunen to residual lattices. We completely solve an open problem on filters of BL-algebras posed by M. Haveshki et al. Moreover, we investigate prime filters of residuated lattices, and by using the software MATHEMATICA, we also give a counterexample to show the distinction between prime filters of residual lattices and one of MTL-algebras.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127534871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
DFR: A New Improved Algorithm for Mining Frequent Itemsets DFR:一种新的改进频繁项集挖掘算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.251
Sheng Chai, Hai-Chun Wang, Jifan Qiu
{"title":"DFR: A New Improved Algorithm for Mining Frequent Itemsets","authors":"Sheng Chai, Hai-Chun Wang, Jifan Qiu","doi":"10.1109/FSKD.2007.251","DOIUrl":"https://doi.org/10.1109/FSKD.2007.251","url":null,"abstract":"Efficiency has been concerned in the research of association rules mining. This paper presents an improved method called Direct-Fined-Remove (DFR) algorithm to mine a database consisting of remove and direct steps. When pruning the candidates itemsets, the algorithm eliminate non-frequent subset of candidates in the remove steps. In the direct steps, the algorithm directly generates the frequent itemsets by computing and comparing the frequency of frequent k-itemsts with k in the meantime. The contributions include: (1) proposes an algorithm to raise the probability of obtaining information in scanning database and reduce the potential scale of itemsets. (2) successfully applies the proposed algorithm to the Teaching Evaluation System to determine characteristics of good teaching effect. Experiments show that the probability which grade point of associate professor being more than 90 is 35% the support degree is 40% and the probability which grade point of bachelor being more than 90 is 16% the support degree is 83%.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127160937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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