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2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery最新文献

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A Novel Multi-reduced SVM Approach for Speaker Recognition 一种新的多约简SVM说话人识别方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.476
Ming Li, Ruiling Luo, Yujuan Xing
{"title":"A Novel Multi-reduced SVM Approach for Speaker Recognition","authors":"Ming Li, Ruiling Luo, Yujuan Xing","doi":"10.1109/FSKD.2008.476","DOIUrl":"https://doi.org/10.1109/FSKD.2008.476","url":null,"abstract":"To overcome the vast computation of standard SVM, a novel multi-reduced SVM method for speaker recognition is proposed in this paper. The proposed method consists of three parts. Firstly the entropy-based feature selection approach is exploited to reduce the dimension of the input vectors by extracting the important feature attributes, in which the performance of the clustering is improved. Secondly the kernel-based possibilistic C-means (KPCM) clustering algorithm has been run on the selected samples to give out a series of clustering centers, which can represent better the clusters they belong to in high space. Finally, these clustering centers are applied to train RSVM as support vectors. By doing so, we can ensure that the loss of information is minimum. The experimental results show that the training time and storage can be reduced remarkably without deteriorating the recognition performance by the proposed method compared with other reduced algorithms.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267529","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
Multi-model Generalized Predictive Control for Temperature Control System 温度控制系统的多模型广义预测控制
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.129
Bin Liu, Zheng Jiang, Kang-ling Fang
{"title":"Multi-model Generalized Predictive Control for Temperature Control System","authors":"Bin Liu, Zheng Jiang, Kang-ling Fang","doi":"10.1109/FSKD.2008.129","DOIUrl":"https://doi.org/10.1109/FSKD.2008.129","url":null,"abstract":"A multi-model control algorithm based on T-S model is presented in this paper. A stable generalized predictive controller is constructed as a local controller for the linear model, which constitutes the consequent of each fuzzy rule in the T-S model. The stability proof is given for the local controller, and then the global controller is implemented by weighed integration of the local controller. The proposed algorithm is applied to a temperature control system and the experimental results demonstrate the merits and effectiveness of the new algorithm.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972703","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
Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP 基于模糊逻辑和层次分析法的集群式供应链物流能力优化
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.319
Jizi Li, Chunling Liu, Peiling Guo
{"title":"Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP","authors":"Jizi Li, Chunling Liu, Peiling Guo","doi":"10.1109/FSKD.2008.319","DOIUrl":"https://doi.org/10.1109/FSKD.2008.319","url":null,"abstract":"A multistage index system of logistics capability was made to optimize the logistics capability in cluster supply chain (CSC), in which, a multistage fuzzy analytical model was applied on the basis of the fuzzy mathematics and hierarchy process analytical methods. The composing process of logistics capability index was discussed and illustrated in details via proposed model. The fuzzy evaluation of CSC's logistics capability with a comparison to benchmark of logistics capability can identify the advantage and disadvantage of logistics capability, which lead to the optimization of CSC's logistics capability.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129924237","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
Application of Chaotic Phase Space Reconstruction into Nonlinear Time Series Prediction in Deep Rock Mass 混沌相空间重构在深部岩体非线性时间序列预测中的应用
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.423
Yong Kang, Xiaohong Li, Yiyu Lu, Chunhe Yang
{"title":"Application of Chaotic Phase Space Reconstruction into Nonlinear Time Series Prediction in Deep Rock Mass","authors":"Yong Kang, Xiaohong Li, Yiyu Lu, Chunhe Yang","doi":"10.1109/FSKD.2008.423","DOIUrl":"https://doi.org/10.1109/FSKD.2008.423","url":null,"abstract":"Deep rock mass is well known as a highly complex nonlinear dynamic system, the present deformation forecasting methods still remains low precise. Thanks to chaos theory, these problems can be well solved through reconstructing chaotic phase space. In the paper, deformation behavior and its property such as insane, sensitive dependence on initial conditions were analyzed. Then a new forecasting method based on chaotic phase space reconstruction for nonlinear time series were brought out and applied in the displacement forecasting of surrounding rocks in Tongyu tunnel. Compared with traditional models, this model was proved not only accurate but of less workload, whatpsilas more, easy to handle. Through which, the vital information can be arrived to find the rational time of re-supporting surrounding rocks, and to take measures to prevent or minimize disasters incused by surrounding rock failure.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130329770","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: 7
A New Method of Evolution Event Tracking Based on Variable Query 基于变量查询的进化事件跟踪新方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.675
Changwei Zhao, Qinke Peng, Chengwei Li, Quanwei Zhang, S. Sun
{"title":"A New Method of Evolution Event Tracking Based on Variable Query","authors":"Changwei Zhao, Qinke Peng, Chengwei Li, Quanwei Zhang, S. Sun","doi":"10.1109/FSKD.2008.675","DOIUrl":"https://doi.org/10.1109/FSKD.2008.675","url":null,"abstract":"As a feature co-occurrence approach, the traditional event tracking technique encounters a dilemma when setting the tracking similarity threshold that can diminish its tracking effectiveness. In this paper we present a new event tracking method-variable query, which can automatically adjust query terms and its corresponding weights according to the event evolution stages and tracking similarity, and solve the dilemma well. Experiment shows that the method of variable query can improve the precision and decrease the false rate of tracking.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129117294","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
An Interactive Fuzzy Decision Making Method for a Class of Bilevel Programming 一类双层规划的交互式模糊决策方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.537
Z. Wan, Guangmin Wang, Kuolin Hou
{"title":"An Interactive Fuzzy Decision Making Method for a Class of Bilevel Programming","authors":"Z. Wan, Guangmin Wang, Kuolin Hou","doi":"10.1109/FSKD.2008.537","DOIUrl":"https://doi.org/10.1109/FSKD.2008.537","url":null,"abstract":"This paper proposes an interactive fuzzy decision making method for solving the bilevel programming problem with a common decision variable in the upper level and lower level. In this interactive algorithm, the fuzzy theory is used to introduce the fuzzy goals for objective functions of both decision makers, and then an overall satisfactory solution is efficiently obtained by considering the satisfactory degrees of the both levels and the overall satisfactory balance between the two levels. Finally, a numerical example illustrates the feasibility and efficiency of the proposed algorithm.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129227464","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: 13
The Application of Fuzzy Clustering to Oil and Gas Evaluation 模糊聚类在油气评价中的应用
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.227
Shixian Liu, L. Xue
{"title":"The Application of Fuzzy Clustering to Oil and Gas Evaluation","authors":"Shixian Liu, L. Xue","doi":"10.1109/FSKD.2008.227","DOIUrl":"https://doi.org/10.1109/FSKD.2008.227","url":null,"abstract":"This paper introduces the application of fuzzy clustering analysis method to the oil exploration and decision. It adopts 9 evaluation parameters of source rocks, and applies fuzzy clustering method to classify and evaluate the source rocks. Through the comparison of the evaluation results and actual geology, it is found out that the results are fully consistent with the actual conditions. It proves that applying the fuzzy clustering method to oil and gas resource evaluation is totally feasible.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240457","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: 5
Efficient Clustering-Based Outlier Detection Algorithm for Dynamic Data Stream 基于聚类的动态数据流离群点检测算法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.374
Manzoor Elahi, Kun Li, Wasif Nisar, Xinjie Lv, Hongan Wang
{"title":"Efficient Clustering-Based Outlier Detection Algorithm for Dynamic Data Stream","authors":"Manzoor Elahi, Kun Li, Wasif Nisar, Xinjie Lv, Hongan Wang","doi":"10.1109/FSKD.2008.374","DOIUrl":"https://doi.org/10.1109/FSKD.2008.374","url":null,"abstract":"Anomaly detection is currently an important and active research problem in many fields and involved in numerous applications. Most of the existing methods are based on distance measure. But in case of data stream these methods are not very efficient as computational point of view. Most of the exiting work on outlier detection in data stream declare a point as an outlier/inlier as soon as it arrive due to limited memory resources as compared to the huge data stream, to declare an outlier as it arrive often can lead us to a wrong decision, because of dynamic nature of the incoming data. In this paper we introduced a clustering based approach, which divide the stream in chunks and cluster each chunk using k-mean in fixed number of clusters. Instead of keeping only the summary information, which often used in case of clustering data stream, we keep the candidate outliers and mean value of every cluster for the next fixed number of steam chunks, to make sure that the detected candidate outliers are the real outliers. By employing the mean value of the clusters of previous chunk with mean values of the current chunk of stream, we decide better outlierness for data stream objects. Several experiments on different dataset confirm that our technique can find better outliers with low computational cost than the other exiting distance based approaches of outlier detection in data stream.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123822113","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: 96
Comparison of Fusion Algorithms for ALOS Panchromatic and Multi-spectral Images ALOS全色与多光谱图像融合算法的比较
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.325
Wenyi Liu, G. He
{"title":"Comparison of Fusion Algorithms for ALOS Panchromatic and Multi-spectral Images","authors":"Wenyi Liu, G. He","doi":"10.1109/FSKD.2008.325","DOIUrl":"https://doi.org/10.1109/FSKD.2008.325","url":null,"abstract":"The fusion of multi-source remote sensing images can utilize the multi-source information and obtain richer and more objective information compared with the single source image data. ALOS is a new source of high-resolution satellite data, hence research on the practical methods for ALOS data fusion has great significance in prompting the ALOS data application. Based on the features of ALOS data, some common fusion algorithms are experimented and compared. Results of different fusion methods are analyzed in terms of spatial resolution enhancement and spectral information maintenance. As far as the fusion of AVNIR_4, 3, 2 multi-spectral and PRISM_PAN bands selected are concerned, the experiments show that the Brovey method has the advantage over other fusion methods in the aspect of visual representation and identifying precision.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976857","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
Design of a Model Reference Adaptive Controller for Object Tracking 一种模型参考自适应目标跟踪控制器的设计
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.386
Kai Cao
{"title":"Design of a Model Reference Adaptive Controller for Object Tracking","authors":"Kai Cao","doi":"10.1109/FSKD.2008.386","DOIUrl":"https://doi.org/10.1109/FSKD.2008.386","url":null,"abstract":"The control architecture proposed in this paper is based on fuzzy basis function and has successfully incorporated the advantages of adaptive control and robust control, and thus is beneficial to the tracking control of the reference model. Two cases are given to illustrate the performance of the proposed method. Computer simulation results confirm that the proposed method not only satisfied tracking performance, but it also is vigorously robust.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"105 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123389780","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
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