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

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A Detection Method of Radar Signal by Wavelet Transforms 基于小波变换的雷达信号检测方法
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.18
Shanwen Zhang, Jianbo Fan, L. Shou, Jinxiang Dong
{"title":"A Detection Method of Radar Signal by Wavelet Transforms","authors":"Shanwen Zhang, Jianbo Fan, L. Shou, Jinxiang Dong","doi":"10.1109/FSKD.2007.18","DOIUrl":"https://doi.org/10.1109/FSKD.2007.18","url":null,"abstract":"In this paper, an effective detection method of radar signal is presented based on the wavelet analysis. The purpose of this paper is to provide the review of the wavelet analysis research and to detect radar target from radar echo. The theory of wavelet analysis is presented including continuous and discrete wavelet transform. Then specific application, namely radar target detection is presented. In this paper, using wavelet transform to preprocess the radar echo, we are able to obtain multiple data series at different scales of the wavelet transform. These multiple data series can then be used as input to sensors of independent component analysis for detection of a single independent source. The proposed method is applied to radar target detection using a real signal series. It is demonstrated that the method in combination with wavelet transform is effective with feasible result. It has greater theoretical significance and actual applied value in regarded to radar signal processing and target identifying in our aerial defense weapon system.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"21 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":"127175812","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
Ensemble Learning and Optimizing KNN Method for Speaker Recognition 集成学习与优化KNN方法在说话人识别中的应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.270
Yan Zhang, Zhenmin Tang, Yanping Li, Bo Qian
{"title":"Ensemble Learning and Optimizing KNN Method for Speaker Recognition","authors":"Yan Zhang, Zhenmin Tang, Yanping Li, Bo Qian","doi":"10.1109/FSKD.2007.270","DOIUrl":"https://doi.org/10.1109/FSKD.2007.270","url":null,"abstract":"Ensemble with K Nearest Neighbor (KNN) learner is a novel approach to speaker recognition. It has many advantages over other conversational methods such as simplicity and good generalization ability. At the same time, the generalization ability of an ensemble could be significantly better than that of a single learner. In this paper, we intend to improve the performance of the speaker recognition system by introducing a novel method combining optimizing annular region-weighted distance k nearest neighbor with BagWithProb ensemble learning schemes. Experiments studied in this paper indicate that the proposed method can effectively improve the accuracy of speaker identification system.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"17 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":"127232242","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
An Interactive Hyper Knowledge Discovery System for Chinese Medicine 交互式中医超知识发现系统
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.170
Tongyuan Wang, Huzhan Zheng, Yanjiang Qiao
{"title":"An Interactive Hyper Knowledge Discovery System for Chinese Medicine","authors":"Tongyuan Wang, Huzhan Zheng, Yanjiang Qiao","doi":"10.1109/FSKD.2007.170","DOIUrl":"https://doi.org/10.1109/FSKD.2007.170","url":null,"abstract":"The proposed hyper knowledge discovery system is designed to facilitate domain users to interactively discover knowledge from complex data sets. At the first stage, this system integrates data preprocess, lexicon establishment and database construction together. Then it provides domain users with flexibility and fuzzy mechanism to retrieve information and mine knowledge interactively. The system introduces an approach to obtain joint probability distributions of an arbitrary number of variables of multi valued states. This is fundamental for mining correlation and causal relations from the complex data sources. To attain these objectives, the system creatively exploits the functionalities of the relational database and SQL engine to reduce programming while achieving good performance. All the functionalities are online and hence facilitate resource and knowledge sharing.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"33 6 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":"127535694","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 Hybrid Fuzzy LMS Neural Network Model for Determining Weights of Criteria in MCDM 一种混合模糊LMS神经网络模型用于MCDM中标准权重的确定
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.47
Feng Kong, Hongyan Liu
{"title":"A Hybrid Fuzzy LMS Neural Network Model for Determining Weights of Criteria in MCDM","authors":"Feng Kong, Hongyan Liu","doi":"10.1109/FSKD.2007.47","DOIUrl":"https://doi.org/10.1109/FSKD.2007.47","url":null,"abstract":"A hybrid fuzzy LMS neural network model, with fuzzy numbers as inputs, is set up to determine the weights of each criterion of alternatives. The model can determine the weights of each criterion automatically, according to the time-series data of market, so that they are more objectively and accurately distributed. The model also has a strong self-learning ability so that calculations are greatly reduced and simplified. Further, decision maker's specific preferences for uncertainty also are considered in the model. Hence, this method can give revised results while taking into decision maker's subjective intensions for uncertainty preference. A numerical example is given to illustrate the method.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"29 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":"125864910","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
Rules Extraction of Interval Type-2 Fuzzy Logic System Based on Fuzzy c-Means Clustering 基于模糊c均值聚类的区间2型模糊逻辑系统规则提取
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.503
Wei-bin Zhang, Huai-zhong Hu, Wen-jiang Liu
{"title":"Rules Extraction of Interval Type-2 Fuzzy Logic System Based on Fuzzy c-Means Clustering","authors":"Wei-bin Zhang, Huai-zhong Hu, Wen-jiang Liu","doi":"10.1109/FSKD.2007.503","DOIUrl":"https://doi.org/10.1109/FSKD.2007.503","url":null,"abstract":"An improved clustering algorithm is proposed in this paper, which originates from Fuzzy c-Means Clustering(FCM). FCM is one of the algorithms used commonly to extract fuzzy rules from type-1 fuzzy logic system. However, its application is merely limited to dots set. This deficiency is improved in the new algorithm, Interval Fuzzy c-Means Clustering(IFCM), which is adequate to deal with interval sets. The enhanced algorithm is based on a new definition of distance between interval data. This article will also focus on extracting fuzzy rule from interval type-2 fuzzy systems. The type-2 fuzzy system is suitable to handle the situations with complicated uncertainties. However, how to extract fuzzy rules from type-2 fuzzy logic systems remains an important issue. This paper will attempt to exhibit an unique method to extract rule from interval type-2 fuzzy systems with IFCM. Simulation results are included at the end of this article that indicates the validity of IFCM.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"29 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":"123420462","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: 11
Basic Theory of Fuzzy Bayesian Networks and Its Application in Machinery Fault Diagnosis 模糊贝叶斯网络的基本理论及其在机械故障诊断中的应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.202
Hao Tang, Shi Liu
{"title":"Basic Theory of Fuzzy Bayesian Networks and Its Application in Machinery Fault Diagnosis","authors":"Hao Tang, Shi Liu","doi":"10.1109/FSKD.2007.202","DOIUrl":"https://doi.org/10.1109/FSKD.2007.202","url":null,"abstract":"Bayesian network is an effective uncertain knowledge representation and reasoning method. Fuzzy sets can be used for expressing fuzzy events or fuzzy objectives in some special region. Combining these two theories, this paper discusses the probability of the fuzzy event and presents a hybrid inference system with fuzzy sets and Bayesian networks which are called \"Fuzzy Bayesian Networks (FBNs) \". Then a case demonstrates the validity of FBNs in machinery fault diagnosis.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"216 8 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":"115022069","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: 40
Exploration of Network Security Information Hid in Web Pages Based on Immunology 基于免疫学的隐藏在网页中的网络安全信息探索
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.280
Caiming Liu, Tao Li, Hui Zhao, Lingxi Peng, Jinquan Zeng, Yan Zhang
{"title":"Exploration of Network Security Information Hid in Web Pages Based on Immunology","authors":"Caiming Liu, Tao Li, Hui Zhao, Lingxi Peng, Jinquan Zeng, Yan Zhang","doi":"10.1109/FSKD.2007.280","DOIUrl":"https://doi.org/10.1109/FSKD.2007.280","url":null,"abstract":"To discover information endangering network security, an exploration method of network security information based on immunology is proposed. Antibody and antigen in biological immune system are used to denote keywords hid in HTML pages. Proposed method generates new antibodies to recognize unknown keywords through immune rules. By mechanisms of self-learning and evolution, antibody families form to represent distribution of different network security information. All antibodies in the same family are totalized to evaluate the information distribution degree. Simulation experiments show that the proposed method is able to find useful information threatening network and improve the intelligent degree of evaluating security of Web information.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"42 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":"116067663","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
Clustering Spatial Data with Obstacles Constraints by PSO 基于粒子群算法的障碍物约束空间数据聚类
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.219
Xueping Zhang, Fen Qin, Jiayao Wang, Yongheng Fu, Jinghui Chen
{"title":"Clustering Spatial Data with Obstacles Constraints by PSO","authors":"Xueping Zhang, Fen Qin, Jiayao Wang, Yongheng Fu, Jinghui Chen","doi":"10.1109/FSKD.2007.219","DOIUrl":"https://doi.org/10.1109/FSKD.2007.219","url":null,"abstract":"This paper proposes a particle swarm optimization (PSO) method for solving Spatial Clustering with Obstacles Constraints (SCOC). In the process of doing so, we first use PSO to get obstructed distance, and then we developed the PSO K-Medoids SCOC (PKSCOC) to cluster spatial data with obstacles constraints. The experimental results show that PKSCOC performs better than Improved K-Medoids SCOC (IKSCOC) in terms of quantization error and has higher constringency speed than Genetic K-Medoids SCOC (GKSCOC).","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":"122516590","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
Data-Fusion Techniques and Its Application 数据融合技术及其应用
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.237
Hai-rong Dong, David Evans
{"title":"Data-Fusion Techniques and Its Application","authors":"Hai-rong Dong, David Evans","doi":"10.1109/FSKD.2007.237","DOIUrl":"https://doi.org/10.1109/FSKD.2007.237","url":null,"abstract":"This paper mainly describes the data-fusion techniques combining the data from two independent sensor systems with the aim of improving overall system performance. The data-fusion algorithms that form the core of the system are described in detail, together with the development work being undertaken. Using simulated data generated by a software model and real data, the analysis of improving system performance is discussed in detail.","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":"114144235","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: 16
Utilize Fuzzy Data Mining to Find the Living Pattern of Customers in Hotels 利用模糊数据挖掘挖掘酒店顾客生活模式
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) Pub Date : 2007-08-24 DOI: 10.1109/FSKD.2007.605
Xu Xu, Zhongfu Zhang, Zhihong Feng, Yansong Li
{"title":"Utilize Fuzzy Data Mining to Find the Living Pattern of Customers in Hotels","authors":"Xu Xu, Zhongfu Zhang, Zhihong Feng, Yansong Li","doi":"10.1109/FSKD.2007.605","DOIUrl":"https://doi.org/10.1109/FSKD.2007.605","url":null,"abstract":"The different criteria are usually used in real data mining, in our study of finding the living pattern of customers in hotels, we adopt fuzzy data mining that combine apriori algorithm with different min-support and min-confidence and fuzzy set theory to copy with the criteria the yielded rules are not only useful to the hotel decision-makers, but also to those who want to do the business. In this paper the approach and steps are listed, we can see the method is scientific and meaningful from the actual example, so the approach can be further used in other facets.","PeriodicalId":201883,"journal":{"name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","volume":"389 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":"114504242","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
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