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

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An Application of Adaptive Fuzzy Logic Controller for Switched Reluctance Motor Drive 自适应模糊控制器在开关磁阻电机驱动中的应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.141
J. Xiu, C. Xia
{"title":"An Application of Adaptive Fuzzy Logic Controller for Switched Reluctance Motor Drive","authors":"J. Xiu, C. Xia","doi":"10.1109/FSKD.2007.141","DOIUrl":"https://doi.org/10.1109/FSKD.2007.141","url":null,"abstract":"This paper develops an adaptive fuzzy logic controller (FLO) for the speed control of switched reluctance motor (SRM) drive. In a FLC, the method to improve the performance of the FLC is to tune the fuzzy rules, membership function and scaling gains of input and output. The scaling gains of the input and output of the proposed FLC are parameters that can be tuned conveniently. So, in this paper, an adaptive FLC with the tuning of scaling gains is proposed. The advantage of this method is that the universe of discourse of the fuzzy sets can be tuned by adjusting the scaling gains according to the speed error. This significantly improves the transient response and steady state performance of the system under the control of the proposed adaptive FLC. In this paper, the principles of tuning scaling gains of the input and output are described. The proposed adaptive FLC has the characteristics of robustness, adaptive and facility to take advantage of human control knowledge. The experimental tests are carried out for the proposed adaptive FLC. The experimental results demonstrate that the proposed adaptive FLC presents a superior performance than the conventional FLC.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"44 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":"114573415","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: 19
An Improved Approach Based on FCM Using Feature Fusion for Medical Image Retrieval 基于特征融合的FCM医学图像检索改进方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.160
Xiaoying Tai, Weihua Song
{"title":"An Improved Approach Based on FCM Using Feature Fusion for Medical Image Retrieval","authors":"Xiaoying Tai, Weihua Song","doi":"10.1109/FSKD.2007.160","DOIUrl":"https://doi.org/10.1109/FSKD.2007.160","url":null,"abstract":"Herein we describe a system for Gastroscopic image which supports image retrieval by content. Attention is focused on content-based approaches for the efficient representation and retrieval of medical images. A new improved image retrieval method with more robustness based on image entropy is proposed, which can be defined as spatial weighted entropy. Then a feature fusion algorithm of medical image retrieval based on FCM using spatial weighted entropy combining with color correlogram is presented. A prototype system which supports query by example is designed and implemented on windows 2003 operating system, using VC# and SQL server 2000.The performance of the method is illustrated using examples from an image database composed of 1361 Gastroscopic images, and the comparison of the retrieval results shows that the approach proposed in this paper is effective.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"9 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":"117300335","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: 15
Fuzzy Concept Lattice Based Classifier 基于模糊概念格的分类器
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.322
Wen Zhou, Zongtian Liu, Yan Zhao, Yu Zheng, Dong Xu, W. Liu, Ying Zhu
{"title":"Fuzzy Concept Lattice Based Classifier","authors":"Wen Zhou, Zongtian Liu, Yan Zhao, Yu Zheng, Dong Xu, W. Liu, Ying Zhu","doi":"10.1109/FSKD.2007.322","DOIUrl":"https://doi.org/10.1109/FSKD.2007.322","url":null,"abstract":"The large collection of formal concepts can be a hedge of the application of FCA. Development of methods which help to overcome the problem of the huge size of concept lattice is thus an important task. This paper proposes clustering-based reduction algorithm for reducing the size of fuzzy concept lattices. At the end, experiment results show that the compression rate of the concept lattice and classifier is remarkable, while it preserves the accuracy of classification of concept lattice.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"13 1-2 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":"123650448","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 Model Combined Fuzzy Optimum Theory with Analytical Hierarchy Process for Engineering Design 模糊优化理论与层次分析法相结合的工程设计模型
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.61
Chi Zhang, Xumei Song, Wei Li
{"title":"A Model Combined Fuzzy Optimum Theory with Analytical Hierarchy Process for Engineering Design","authors":"Chi Zhang, Xumei Song, Wei Li","doi":"10.1109/FSKD.2007.61","DOIUrl":"https://doi.org/10.1109/FSKD.2007.61","url":null,"abstract":"Engineering scheme optimization is of particular importance in the concept design process, which involves multiple objectives with uncertainty. Also, the objective set, used to evaluate and select the satisfying alternative, consists of many qualitative and quantitative factors. So it is a problem of semi-structured multi-objective decision making (SEMODM). This paper develops a framework and methodology for evaluation of engineering alternatives, where a fuzzy optimum model (FOM) is proposed to integrate the influence of each objective in the criteria set, and the analytical hierarchy process (AHP) is adopted to calculate the weight vector, which can mimic the decision maker's experience and preference based on complementary pair wise comparisons. A case study is given to show the efficiency and robustness of the new framework and methodology.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"19 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":"123684368","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
Domain-Based Decomposition Parallel Molecular Dynamics Algorithm on Computer Clusters 计算机集群上基于域的分解并行分子动力学算法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.260
JiuLing Zhao, Jiufen Zhao
{"title":"Domain-Based Decomposition Parallel Molecular Dynamics Algorithm on Computer Clusters","authors":"JiuLing Zhao, Jiufen Zhao","doi":"10.1109/FSKD.2007.260","DOIUrl":"https://doi.org/10.1109/FSKD.2007.260","url":null,"abstract":"With MPI and C/C++, a parallel algorithm of molecular dynamics based on octal-tree domain decomposition method was implemented for micro canonical system (NVE), and run the code on a small cluster. The code speed-up was examined for a number of particles ranging from N = 192 to 10800 and for number of processors from P = 2 up to 8. As a result, the computing performance has been improved obviously, that is the computing speedup of the system can be three times or more than those computing on the single computer.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"2 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":"122044754","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
The Layered Fuzzy Clustering Method Based on Distance and Density 基于距离和密度的分层模糊聚类方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.575
Xiaoping Qiu, Yang Xu, Xiaobing Li
{"title":"The Layered Fuzzy Clustering Method Based on Distance and Density","authors":"Xiaoping Qiu, Yang Xu, Xiaobing Li","doi":"10.1109/FSKD.2007.575","DOIUrl":"https://doi.org/10.1109/FSKD.2007.575","url":null,"abstract":"In this paper, a layered fuzzy clustering method based on distance and density (LFCDD) is summarized. The lowermost layer's algorithm deals with the original data points, the upper layer with the cluster centers of the nearest lower layer. In each layer it identifies the cluster number automatically. It calculates the density and density set of each data point based on distance matrix; then chooses one data point randomly and judges whether every element in the selected data point's density set is in the same cluster with itself, this process is repeated till all data points have been selected. In order to find the optimum value of the parameters, we adopt an objective function using entropy on the uppermost layer. Clustering analysis of LFCDD has been performed and the experimental results show that a high recognition rate can be achieved.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"137 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":"122140508","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
Differential of Fuzzy Functions with Two Variables and Fuzzy Wave Equations 二元模糊函数与模糊波动方程的微分
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.253
Wen-ying Shi, Ai-bing Ji, X. Dai
{"title":"Differential of Fuzzy Functions with Two Variables and Fuzzy Wave Equations","authors":"Wen-ying Shi, Ai-bing Ji, X. Dai","doi":"10.1109/FSKD.2007.253","DOIUrl":"https://doi.org/10.1109/FSKD.2007.253","url":null,"abstract":"In this paper, we will study the calculus of fuzzy- valued functions of two variables and then some properties are discussed,at last we give the solutions of the fuzzy wave equations. Key words: Partial derivative of fuzzy function with two variables; integral of fuzzy function; Differential of fuzzy function; fuzzy wave equation.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"11 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":"122162740","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
An Efficient Method for Attribute Reduction in Incomplete Information Systems 不完全信息系统中属性约简的一种有效方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.152
Renpu Li, Yongsheng Zhao, Fuzeng Zhang, Lihua Song
{"title":"An Efficient Method for Attribute Reduction in Incomplete Information Systems","authors":"Renpu Li, Yongsheng Zhao, Fuzeng Zhang, Lihua Song","doi":"10.1109/FSKD.2007.152","DOIUrl":"https://doi.org/10.1109/FSKD.2007.152","url":null,"abstract":"Attribute reduction is an important issue of data mining. In this paper a novel method based on rough sets is provided for attribute reduction in incomplete information systems. Through a transformation technique, an incomplete system is firstly converted into a new and simpler system and then reducts are obtained from the transformed system. It is proved by theorem that the transformed system has the same reducts as the previous one. Experiments show that the proposed method is more efficient on reduct computation of incomplete information systems.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"35 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":"116801345","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
Variable Rate Fertilizer Distributor in Precision Farming Based on PLC Technology 基于PLC技术的精准农业可变施肥机
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.606
Limin Shao, Xiu Wang
{"title":"Variable Rate Fertilizer Distributor in Precision Farming Based on PLC Technology","authors":"Limin Shao, Xiu Wang","doi":"10.1109/FSKD.2007.606","DOIUrl":"https://doi.org/10.1109/FSKD.2007.606","url":null,"abstract":"In order to improve the fertilization rationality of crop and decrease pollution and waste, the variable rate fertilizer applicator integrated optical sensors was designed based on PLC technology. NDVI (Normalized Difference Vegetative Index) value was a scale to measure the status health and the stand or fall of the crop. According to the real-time data from the NDVI equipment, combined fuzzy control algorithm and the tractor speed, it applied fertilizer through electric operator. The experiment indicated that NDVI could instruct variable rate fertilizer, and it could satisfy with the requirement with of the range of the error permission.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"13 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":"116858646","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 Similarity Measure for Generalized Web Session Clustering 广义Web会话聚类的一种新的相似度度量方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.91
Qianwen Yang, Jisong Kou, Fuzan Chen, Minqiang Li
{"title":"A New Similarity Measure for Generalized Web Session Clustering","authors":"Qianwen Yang, Jisong Kou, Fuzan Chen, Minqiang Li","doi":"10.1109/FSKD.2007.91","DOIUrl":"https://doi.org/10.1109/FSKD.2007.91","url":null,"abstract":"A new similarity measure for generalized web session clustering is defined on the common paths of users' navigation patterns (SMCP) in this paper. It divides the similarity of common paths between two sessions into the inner part and the outer part. The traditional k-means is employed to test the performance of similarity measure and by comparing with the visiting order Based (VOB) similarity measure and the path angles Based (PAB) similarity measure, the experiments on both real and synthetic datasets show that clustering using the proposed similarity measure SMCP can yield more than 10% higher accuracy than the VOB and PAB similarity measure in terms of Silhouette value.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"19 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":"117079262","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
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