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

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Image Registration by Minimizing Tsallis Divergence Measure 最小化Tsallis散度测度的图像配准
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.354
Shaoyan Sun, Chonghui Guo
{"title":"Image Registration by Minimizing Tsallis Divergence Measure","authors":"Shaoyan Sun, Chonghui Guo","doi":"10.1109/FSKD.2007.354","DOIUrl":"https://doi.org/10.1109/FSKD.2007.354","url":null,"abstract":"In this paper, a novel image registration method is proposed which makes use of the a priori knowledge learned from pre-aligned training images. Two images are registered if the difference between the observed joint distribution estimated from them and the expected joint distribution obtained from the aligned training images is minimized. The difference is measured by the Tsallis divergence measure. The performance of the new method is compared with the classical Shannon mutual information and Tsallis mutual information. Experimental results show that the proposed method is computationally more efficient with higher registration accuracy and faster registration convergence.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"431 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":"132298155","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
A New Fuzzy Entropy for Intuitionistic Fuzzy Sets 直觉模糊集的一种新的模糊熵
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.76
Guo-shun Huang
{"title":"A New Fuzzy Entropy for Intuitionistic Fuzzy Sets","authors":"Guo-shun Huang","doi":"10.1109/FSKD.2007.76","DOIUrl":"https://doi.org/10.1109/FSKD.2007.76","url":null,"abstract":"Fuzzy entropy is an important concept of intuitionistic fuzzy sets (IFSs). In this paper, the resources of the entropy of an intuitionistic fuzzy set are analyzed. It is pointed out that the fuzzy entropy of an IFS comes from uncertainty and unknown information. A new formula is proposed and some numerical examples are given to compare it with the existing methods. It is found that conditions proposed by Szmidt and Kacprzyk are just necessary properties an entropy measure should possess.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"136 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":"130100232","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: 8
Fuzzy Fixed Charge Solid Transportation Problem and Its Algorithm 模糊固定收费固体运输问题及其算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.325
Linzhong Liu, Liang Lin
{"title":"Fuzzy Fixed Charge Solid Transportation Problem and Its Algorithm","authors":"Linzhong Liu, Liang Lin","doi":"10.1109/FSKD.2007.325","DOIUrl":"https://doi.org/10.1109/FSKD.2007.325","url":null,"abstract":"The solid transportation problem is a generalization of the traditional transportation problem in which three kinds of constraint are taken into account instead of two. In general, the three kinds of constraint are understood as source, destination, and transport mode. The fixed charge transportation problem is an extension of the traditional transportation problem in which two kinds of costs, say direct cost and fixed charge, are taken into consideration. In this paper, the fixed charge solid transportation problem with fuzzy data is modeled as a chance-constrained programming by using the credibility measure. Finally, a genetic algorithm and an illustrated example is given.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"30 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":"130258682","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: 10
A Fuzzy Self-Tuning Algorithm for Depth-Axis Control in Image-Based Visual Servo Control 基于图像的视觉伺服控制中深度轴的模糊自整定算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.39
Xiaojing Shen, Ming Chen
{"title":"A Fuzzy Self-Tuning Algorithm for Depth-Axis Control in Image-Based Visual Servo Control","authors":"Xiaojing Shen, Ming Chen","doi":"10.1109/FSKD.2007.39","DOIUrl":"https://doi.org/10.1109/FSKD.2007.39","url":null,"abstract":"This paper is concerned with choosing image features for image-based visual servo control and how a fuzzy self- tuning PI control algorithm is designed to track a planar target with motion along the depth-axis. In this paper, we study a specific class of IBVS problem, in which a camera is constrained to move in the depth-axis(or Z-axis), since depth control is very important in IBVS system. Such a constraint condition makes it possible to find image moments reflecting target depth, and thus leads to a relative simple PI depth controller. The fuzzy self tuning algorithm is introduced to improve the performance of the PI depth controller And the significant properties of the simulation results show that the fuzzy self tuning algorithm is shown by simulation.","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":"134130053","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-rada Data Fusion Algorithm Based on K-Central Clustering 基于k -中心聚类的多雷达数据融合算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.416
Hongping Shu, Yunfeng Wang, Jianmin Jiang
{"title":"Multi-rada Data Fusion Algorithm Based on K-Central Clustering","authors":"Hongping Shu, Yunfeng Wang, Jianmin Jiang","doi":"10.1109/FSKD.2007.416","DOIUrl":"https://doi.org/10.1109/FSKD.2007.416","url":null,"abstract":"This paper studied the discrimination of the different kind goal observation data using the k-central clustering method, and realized to the multi-objectives real-time track through the kind of data fusion. The basic thought, Cluster treating processes and the algorithm realization of the observation data k-central clustering are studied. Filter Equations for maneuvering target tracking are described; Parameter matrix theory for the Simplified calculation and corresponding initial value are given in air traffic control system. The discovery which the k-central clustering be able to discriminate different goal well, and after clustering the kind to carry on the track fusion to be more accurate are found. The simulation result indicated that, the filter track trace is good after the k-central clustering.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"266 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":"134415557","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
An Improved Method of Sensor-Based Path Planning Using Instant Goals 基于即时目标的传感器路径规划改进方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.162
Lu Yin, Yixin Yin, Xuyan Tu, Daoping Jiang, Guobao Xu
{"title":"An Improved Method of Sensor-Based Path Planning Using Instant Goals","authors":"Lu Yin, Yixin Yin, Xuyan Tu, Daoping Jiang, Guobao Xu","doi":"10.1109/FSKD.2007.162","DOIUrl":"https://doi.org/10.1109/FSKD.2007.162","url":null,"abstract":"In this paper, an effective improved path planning algorithm using Instant Goals is proposed. In the original Instant Goal theory, the determination process of Instant Goals is complicated and time-costly, so an alternative idea based on the searching beams from the online senor is proposed. After that the other significant problem is proposed: the original algorithm is well designed to detect and recognize the obstacles around in given positions, but it did not have it in consideration that how to make sure the robot gets the knowledge that the obstructing points detected belong to the new obstacle or the original obstacle it just avoided. To solve the problem just mentioned, some practical techniques are adopted and expounded explicitly to give robot a criterion to judge it. At last, some realistic simulation results are given to validate the effectiveness of the new improved path planning method.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"3 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":"134571539","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
Mining Evolutionary Event Patterns of Web Texts for Text Resource Aggregation 面向文本资源聚合的Web文本演化事件模式挖掘
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.399
Chengli Zhao, Dong-yun Yi
{"title":"Mining Evolutionary Event Patterns of Web Texts for Text Resource Aggregation","authors":"Chengli Zhao, Dong-yun Yi","doi":"10.1109/FSKD.2007.399","DOIUrl":"https://doi.org/10.1109/FSKD.2007.399","url":null,"abstract":"As an outcome of the overwhelming volume of Internet resources, it is necessary to research methods integrating distributed autonomous resources connected to the Internet to make them more effective and efficient. With the understanding of characteristics of internet resources, this paper will focus on solving the problem of text resource aggregation in open environment and its emergence showed during aggregation over time. We process these text resources both in space and time dimension through viewing them as an event stream evolving over time, and attempt to discover the evolutionary event patterns, furthermore, to mine the emergence of text content, such as revealing research trends in scientific literature. Experiments show that our methods can discover interesting evolutionary event patterns effectively.","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":"131207961","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
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification 集成欠采样分类提高Web垃圾邮件检测性能
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.207
Guanggang Geng, Chunheng Wang, Qiudan Li, Lei Xu, Xiaobo Jin
{"title":"Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification","authors":"Guanggang Geng, Chunheng Wang, Qiudan Li, Lei Xu, Xiaobo Jin","doi":"10.1109/FSKD.2007.207","DOIUrl":"https://doi.org/10.1109/FSKD.2007.207","url":null,"abstract":"Anti-spam has become one of the top challenges for the Web search. In this paper, we explore the Web spam detection as a binary classification problem. Based on the fact that reputable pages are more easy to be obtained than spam ones on the Web, an ensemble under-sampling classification strategy is adopted, which exploits the information involved in the large number of reputable Websites to full advantage. The strategy is based on the predicted spamicity of every sub-classifiers, in which both content-based and link-based features are taken into account. The experiments on standard WEBSPAM-UK2006 benchmark showed that the ensemble strategy can improve the web spam detection performance effectively.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"74 3 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":"133037841","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: 48
The Application of SOM Network to Clustering Enterprises Based on Questionnaires 基于问卷的SOM网络在企业集群中的应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.563
Yan Yu, Pelian He, Yinghua Zhang, Yushan Bai, Zhengju Song, Tingting Yin
{"title":"The Application of SOM Network to Clustering Enterprises Based on Questionnaires","authors":"Yan Yu, Pelian He, Yinghua Zhang, Yushan Bai, Zhengju Song, Tingting Yin","doi":"10.1109/FSKD.2007.563","DOIUrl":"https://doi.org/10.1109/FSKD.2007.563","url":null,"abstract":"The self-organizing map (SOM) is an excellent tool for data mining. In order to know the understanding of businesses of establishing the environment-friendly enterprise, we carried out a questionnaire to 49 manufacturing enterprises in a city and clustered the results using SOM network. We found that there are four different classes among the enterprises. In doing this work we developed a new procedure of uniting one-dimensional SOM with two-dimensional SOM for visualizing and exploring properties of the training results. The procedure can reduce subjective factors and give satisfactory cluster results. This study was a trial applying the SOM method to cluster based on the questionnaire results directly.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"31 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":"133483026","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 Improved Shark-Search Algorithm Based on Multi-information 一种基于多信息的改进鲨鱼搜索算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.166
Zhumin Chen, Jun Ma, Jingsheng Lei, Bo Yuan, Li Lian
{"title":"An Improved Shark-Search Algorithm Based on Multi-information","authors":"Zhumin Chen, Jun Ma, Jingsheng Lei, Bo Yuan, Li Lian","doi":"10.1109/FSKD.2007.166","DOIUrl":"https://doi.org/10.1109/FSKD.2007.166","url":null,"abstract":"With the enormous growth of world wide web, existing general-purpose search engines have presented much more limitations. Focused crawling is increasingly seen as a potential solution. The key of focused crawling is how to accurately predict the relevance of the unvisited web pages pointed to by known URLs to a given topic. A formalized description of the predicting process is introduced. Then, four policies are proposed to predict the relevance of unvisited pages to a topic. Further the combinations of these policies are used to improve the Shark-Search, which is a classic focused crawling algorithm mainly based on the textual information of Web pages. A large number of experiments were carried out to identify the optimized combination and verify that the improved Shark-Search is more effective than the original one.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"2005 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":"133474633","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: 14
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