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

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Query Recommendation with TF-IQF Model and Popularity Factor 基于TF-IQF模型和流行因子的查询推荐
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.68
Qi Liu, Minghu Jiang, Zhi Chen
{"title":"Query Recommendation with TF-IQF Model and Popularity Factor","authors":"Qi Liu, Minghu Jiang, Zhi Chen","doi":"10.1109/FSKD.2008.68","DOIUrl":"https://doi.org/10.1109/FSKD.2008.68","url":null,"abstract":"Query recommendation is a technique that provides better queries to help users to get the needed documents when the original query submitted by the user may be insufficient or imprecise to retrieve those. In this paper a novel method for query recommendation is proposed. It is different from traditional methods in two aspects: (1) it breaks URLs into independent tokens and uses a TF-IQF model to present the queries, and calculates the query similarity based on that model in further steps, while traditional query log related methods take the clicked URLs recorded in query log as whole; and (2) it introduces a query popularity factor. The popularity factor adds weight to the queries that receive more user clicks, with the assumption that the quality of these popular queries is proven by previous users. In our experiments based on real commercial search engine query logs, our method out performs others, which demonstrates the effectiveness of the proposed TF-IQF model and popularity factor.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"39 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":"133049429","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
Function S-Rough Sets Method in Feature Selection 特征选择中的函数s -粗糙集方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.204
Haiqing Hu, Pitao Wang, Kaiquan Shi
{"title":"Function S-Rough Sets Method in Feature Selection","authors":"Haiqing Hu, Pitao Wang, Kaiquan Shi","doi":"10.1109/FSKD.2008.204","DOIUrl":"https://doi.org/10.1109/FSKD.2008.204","url":null,"abstract":"Function S-rough sets is defined by function equivalence class, function is a kind of feature. By using of function S-rough sets, this paper gives a new feature selection method, gives concepts of lower approximation features and upper approximation features, furthermore, it presents the structure of F-feature pair, gives its characteristic discussion. F-feature selection method given in this paper has gotten applied in image processing, object recognition and etc, it is becoming a new research direction in recognition theory.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"20 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133071201","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
Variable Fuzzy Recognition Model and Application of Optimal Selection for Reservoir Flood Operation Schemes 水库防洪调度方案优选的变量模糊识别模型及应用
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.432
Jingxuan Yuan, Hongxia Han, Yanping Dong
{"title":"Variable Fuzzy Recognition Model and Application of Optimal Selection for Reservoir Flood Operation Schemes","authors":"Jingxuan Yuan, Hongxia Han, Yanping Dong","doi":"10.1109/FSKD.2008.432","DOIUrl":"https://doi.org/10.1109/FSKD.2008.432","url":null,"abstract":"Optimal selection for reservoir flood operation schemes always restricts effectiveness of reservoirs. Variable fuzzy recognition model and method is the significant content and basal model of Variable Fuzzy Set Theory, and they are applied to evaluation, recognition, forecast and other different situations. Through applying the above model to the schemes optimization of reservoir flood operation, reliability of decision-making is improved highly. Variable fuzzy recognition model can be applied to decision-making optimization of reservoir flood operation system, and other systems.","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":"133489200","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
One Method of Plane Direction Measurement by Using of the Grating Fringe 一种利用光栅条纹测量平面方向的方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.514
Jie Sun, Zhiling Zhang
{"title":"One Method of Plane Direction Measurement by Using of the Grating Fringe","authors":"Jie Sun, Zhiling Zhang","doi":"10.1109/FSKD.2008.514","DOIUrl":"https://doi.org/10.1109/FSKD.2008.514","url":null,"abstract":"The mapping between the three-dimension (3D) physical space parameters of the target to the two-dimension (2D) image captured by the camera system is very important in the machine vision, especially in the omni-directional vision system for mobile robots. In practice, the 2D image captured by camera includes only part of the information of the 3D target and the 2D image changes a lot along with many factors. The 2D image captured depends not only on the optical parameters of the camera system, but also on the position of the physical target location and the relative direction of the physical target. One model is described under the investment of the geometric relationship between the camera and the target in this paper. The structure light to determine the target surface normal line direction and this light used in this model is produced by an optical grating. A line CCD camera is used to measure the light intensity of the structure light and the data of the light intensity distribution is transformed into a computer with an adapter card through ISA bus interface. The quadratic fitting equation is used to smooth the measured light intensity data distribution and to determine the local maximum value of the intensity. The precision of this measurement method is higher than 10-2. This plane direction measurement method can be used in robots vision and many other cases such as the inspection, measurement and examination of 3D profile in research, industry, security and so on.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"78 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":"133602994","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 Traffic Flow Model with the Effects of Backward Looking and Relative Current 一种具有后视和相对电流效应的交通流模型
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.113
Tao Liu, L. Jia, Wen-xing Zhu
{"title":"A New Traffic Flow Model with the Effects of Backward Looking and Relative Current","authors":"Tao Liu, L. Jia, Wen-xing Zhu","doi":"10.1109/FSKD.2008.113","DOIUrl":"https://doi.org/10.1109/FSKD.2008.113","url":null,"abstract":"The forward looking lattice model of traffic flow is extended to take the backward looking effect and the relative current effect into account. The performance of the new traffic flow model is investigated analytically and numerically. The stability, neutral stability and instability conditions are obtained by the use of the linear stability theory. The stability of the uniform flow is strengthened due to the effects of the backward looking and the relative current. By increasing the strengths of the backward looking effect and the relative current effect, the stable region increases and the traffic jam is suppressed effectively. The numerical simulation results are in good agreement with the linearly analytical results.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"33 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":"133681141","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
Fuzzy Optimal Design of the Plate-Fin Heat Exchangers by Particle Swarm Optimization 基于粒子群算法的板翅式换热器模糊优化设计
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.313
Xiaochun Yu, Zhi-qin Cui, Yingxiao Yu, Yi-qiang Shi
{"title":"Fuzzy Optimal Design of the Plate-Fin Heat Exchangers by Particle Swarm Optimization","authors":"Xiaochun Yu, Zhi-qin Cui, Yingxiao Yu, Yi-qiang Shi","doi":"10.1109/FSKD.2008.313","DOIUrl":"https://doi.org/10.1109/FSKD.2008.313","url":null,"abstract":"Plate-fin heat exchanger has been widely used in chemical, mechanical and electronic engineering etc. The optimal design of PFHE is an important method to improve the performance of PFHE. According to the engineering requirements, the minimum weight, higher heat efficiency and reasonable pressure loss are set as optimal objectives of PFHE, which is termed as multi-objective optimal problem. To implement the multi-objective optimal design of PFHE, fuzzy optimization technology by particle swarm optimization is developed, in which the fuzzy factors are dealt with as membership functions. A numerical engineering example of PFHE is given to examine the validity of the proposed fuzzy optimization approach, the results compared with one by trial-and-error process show that the optimal PFHE has better synthetically performance than the one designed by trial-and-error process.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"49 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":"132265616","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
A Novel Approach for Network Event Correlation Based on Set Covering 一种基于集合覆盖的网络事件关联新方法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.163
Qiuhua Zheng, Weihua Hu, Y. Qian, Min Yao, Xianglin Wang, Jing Chen
{"title":"A Novel Approach for Network Event Correlation Based on Set Covering","authors":"Qiuhua Zheng, Weihua Hu, Y. Qian, Min Yao, Xianglin Wang, Jing Chen","doi":"10.1109/FSKD.2008.163","DOIUrl":"https://doi.org/10.1109/FSKD.2008.163","url":null,"abstract":"This paper proposes a novel network event correlation approach based on set covering. Firstly, we present a triple-layer belief network FPM by considering alarm loss and spurious faults into the bipartite graph FPM which used by IHU algorithm, then present the measurement of fault hypothesis. On basic of this model, we present a recursive algorithm for creating fault hypotheses. Compared with the IHU-based approach, the RHC algorithm can get all hypotheses which satisfy the relevance and non-redundant indexes during the hypotheses creating procedure. Simulations show the RHC algorithm is more accuracy than the IHU algorithm, especially in the circumstances with alarm losses and spurious alarms.","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":"132278999","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 Hybrid Quantum-Behaved Particle Swarm Optimization Algorithm for Clustering Analysis 用于聚类分析的混合量子粒子群优化算法
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.369
Kezhong Lu, Kangnian Fang, Guangqian Xie
{"title":"A Hybrid Quantum-Behaved Particle Swarm Optimization Algorithm for Clustering Analysis","authors":"Kezhong Lu, Kangnian Fang, Guangqian Xie","doi":"10.1109/FSKD.2008.369","DOIUrl":"https://doi.org/10.1109/FSKD.2008.369","url":null,"abstract":"The K-harmonic means (KHM) is a center-based clustering algorithm which uses the harmonic averages of the distances from each data point to the centers as components to its performance function. Unlike K-means, KHM is less sensitive to initial conditions. However, KHM as a center-based clustering algorithm can only generate a local optimal solution. In this paper, we present a hybrid clustering algorithm combining quantum-behaved particle swarm optimization and K-harmonic means (HQPSO) for solving this problem. This algorithm has been implemented and tested on several simulated and real datasets. The performance of this algorithm is compared with KHM, PSO, HPSO and QPSO. Our computational simulations reveal the HQPSO clustering algorithm has the advantage of global searching, fast convergence and less sensitive to initial conditions. The HQPSO is a robust clustering algorithm.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"9 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":"132335153","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: 6
Delay-Dependent Generalized H2 Control for Discrete-Time T-S Fuzzy Systems Based on a Switching Fuzzy Model and Piecewise Lyapunov Function 基于切换模糊模型和分段Lyapunov函数的离散T-S模糊系统时滞相关广义H2控制
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.415
Zhile Xia
{"title":"Delay-Dependent Generalized H2 Control for Discrete-Time T-S Fuzzy Systems Based on a Switching Fuzzy Model and Piecewise Lyapunov Function","authors":"Zhile Xia","doi":"10.1109/FSKD.2008.415","DOIUrl":"https://doi.org/10.1109/FSKD.2008.415","url":null,"abstract":"This paper studies the problem of generalized H2 control for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time delays. First, the T-S fuzzy system is transformed to an equivalent switching fuzzy systems. Consequently, based on the piecewise Lyapunov function, the delay-dependent stabilization criteria with generalized H2 performance are derived for the switching fuzzy systems.The proposed conditions are presented in terms of linear matrix inequalities (LMIs). The interactions among the fuzzy subsystems are considered in each subregion. Since only a set of LMIs is involved, the controller design is quite simple and numerically tractable. To illustrate the validity of the proposed method, a design example is provided.","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":"131266671","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
Robust Stability Analysis for Fuzzy BAM Neural Networks with Time Varying Delays 时变时滞模糊BAM神经网络鲁棒稳定性分析
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery Pub Date : 2008-10-18 DOI: 10.1109/FSKD.2008.50
B. Liu, Xuefeng Guang, Xu Qian
{"title":"Robust Stability Analysis for Fuzzy BAM Neural Networks with Time Varying Delays","authors":"B. Liu, Xuefeng Guang, Xu Qian","doi":"10.1109/FSKD.2008.50","DOIUrl":"https://doi.org/10.1109/FSKD.2008.50","url":null,"abstract":"This paper deals with the problem of robust stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying interval delays. Here the delays are assumed be in given ranges. By constructing new Lyapunov-Krasovskii functional, stability conditions which are dependent on the upper and lower bounds of the delays, are given in term of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"154 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":"131299896","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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