Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295556
Mark Jyn-Huey Lim, M. Negnevitsky, J. Hartnett
E-mail traffic analysis is an area of work that focuses on extracting information about the behaviour of e-mail users based on the sender, receiver, and date/time information taken from the header section of e-mail messages. Such work has applications for law enforcement where investigators and analysts require techniques to assist them with finding unusual or suspicious patterns from large amounts of communication log data. This paper describes work using hierarchical fuzzy systems to detect abnormal changes in e-mail traffic behaviour, through the fusion of e-mail traffic behaviour measurements. The paper focuses on the use of three different hierarchical fuzzy system architectures, to determine the effect that input variable groupings have on the abnormality ratings given to the communication links of suspect e-mail accounts. The case study demonstrates the use of the three hierarchical fuzzy system architectures for analysing suspect e-mail accounts belonging to the Enron e-mail corpus.
{"title":"Detecting Abnormal Changes in E-mail Traffic Using Hierarchical Fuzzy Systems","authors":"Mark Jyn-Huey Lim, M. Negnevitsky, J. Hartnett","doi":"10.1109/FUZZY.2007.4295556","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295556","url":null,"abstract":"E-mail traffic analysis is an area of work that focuses on extracting information about the behaviour of e-mail users based on the sender, receiver, and date/time information taken from the header section of e-mail messages. Such work has applications for law enforcement where investigators and analysts require techniques to assist them with finding unusual or suspicious patterns from large amounts of communication log data. This paper describes work using hierarchical fuzzy systems to detect abnormal changes in e-mail traffic behaviour, through the fusion of e-mail traffic behaviour measurements. The paper focuses on the use of three different hierarchical fuzzy system architectures, to determine the effect that input variable groupings have on the abnormality ratings given to the communication links of suspect e-mail accounts. The case study demonstrates the use of the three hierarchical fuzzy system architectures for analysing suspect e-mail accounts belonging to the Enron e-mail corpus.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516358","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295627
Carlos D. Barranco, Jesús R. Campaña, J. M. Medina
The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.
{"title":"A Low Implementation Cost Alternative for Indexing Fuzzy Numerical Data","authors":"Carlos D. Barranco, Jesús R. Campaña, J. M. Medina","doi":"10.1109/FUZZY.2007.4295627","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295627","url":null,"abstract":"The paper introduces an indexing technique for fuzzy numerical data for queries involving possibility measured flexible conditions. The proposal is based on a classical indexing mechanism for numerical crisp data, b+trees, which is implemented in most of commercial Database Management Systems (DBMS). This fact, makes the proposed technique a good candidate to be integrated in a fuzzy DBMS when it is developed as an extension of a crisp DBMS.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389932","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295461
C. Tseng, M. Cole
A neuro-fuzzy detector in the continuous wavelet transform (CWT) domain is developed to enhance the performance of wideband acoustic signal detection in a noise-limited environment. The aim of the detector is to determine the motion parameters (radial range and velocity) of moving targets in active wideband sonar echolocation system at very low signal-to-noise ratio (SNR). The detection is based oh time-scale and time-delay of the received echo. The fuzzy detector is composed of two parts: noise reduction based on the adaptive noise cancelling (ANC) concept, and motion parameters estimation based on the correlation process. Using learning intelligent systems named adaptive neuro-fuzzy inference systems (ANFIS), noise embedded in the return signal is minimized which improves the output SNR. The resultant signal is then proceeded by a similarity measurement technique known as the wideband cross correlation process equivalent to the CWT operation for determining the motion parameters. Simulation results demonstrate that the neuro-fuzzy detector is effective in accurately predicting the motion parameters with less than 0.2% false target detection rate.
{"title":"Adaptive Neuro-Fuzzy Inference Systems for Wideband Signal Recovery in a Noise-Limited Environment","authors":"C. Tseng, M. Cole","doi":"10.1109/FUZZY.2007.4295461","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295461","url":null,"abstract":"A neuro-fuzzy detector in the continuous wavelet transform (CWT) domain is developed to enhance the performance of wideband acoustic signal detection in a noise-limited environment. The aim of the detector is to determine the motion parameters (radial range and velocity) of moving targets in active wideband sonar echolocation system at very low signal-to-noise ratio (SNR). The detection is based oh time-scale and time-delay of the received echo. The fuzzy detector is composed of two parts: noise reduction based on the adaptive noise cancelling (ANC) concept, and motion parameters estimation based on the correlation process. Using learning intelligent systems named adaptive neuro-fuzzy inference systems (ANFIS), noise embedded in the return signal is minimized which improves the output SNR. The resultant signal is then proceeded by a similarity measurement technique known as the wideband cross correlation process equivalent to the CWT operation for determining the motion parameters. Simulation results demonstrate that the neuro-fuzzy detector is effective in accurately predicting the motion parameters with less than 0.2% false target detection rate.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128740431","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295354
V. Patrascu
This paper presents an extension of fuzzy set based on Lukasiewicz penta-valued logic. This new type of fuzzy set will be called penta-valued fuzzy set and will be defined by five scalar functions: the strong membership, the weak membership, the uncertainty, the weak non-membership and the strong non-membership. Also, the penta-valued fuzzy set represents an extension for the intuitionistic fuzzy sets and for the four-valued fuzzy set.
{"title":"Penta-Valued Fuzzy Set","authors":"V. Patrascu","doi":"10.1109/FUZZY.2007.4295354","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295354","url":null,"abstract":"This paper presents an extension of fuzzy set based on Lukasiewicz penta-valued logic. This new type of fuzzy set will be called penta-valued fuzzy set and will be defined by five scalar functions: the strong membership, the weak membership, the uncertainty, the weak non-membership and the strong non-membership. Also, the penta-valued fuzzy set represents an extension for the intuitionistic fuzzy sets and for the four-valued fuzzy set.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127084046","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295449
Y. Hamasuna, Y. Endo, Yasushi Hasegawa, S. Miyamoto
Two clustering algorithms that handle data with tolerance are proposed. One is based on hard c-means while the other uses the learning vector quantization. The concept of the tolerance includes. First, the concept of tolerance which implies errors, ranges and the loss of attribute of data is described. Optimization problems that take the tolerance into account are formulated. Since the Kuhn-Tucker condition give a unique and explicit optimal solution, an alternate minimization algorithm and a learning algorithm are constructed. Moreover, the effectiveness of the proposed algorithms is verified through numerical examples.
{"title":"Two Clustering Algorithms for Data with Tolerance based on Hard c-Means","authors":"Y. Hamasuna, Y. Endo, Yasushi Hasegawa, S. Miyamoto","doi":"10.1109/FUZZY.2007.4295449","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295449","url":null,"abstract":"Two clustering algorithms that handle data with tolerance are proposed. One is based on hard c-means while the other uses the learning vector quantization. The concept of the tolerance includes. First, the concept of tolerance which implies errors, ranges and the loss of attribute of data is described. Optimization problems that take the tolerance into account are formulated. Since the Kuhn-Tucker condition give a unique and explicit optimal solution, an alternate minimization algorithm and a learning algorithm are constructed. Moreover, the effectiveness of the proposed algorithms is verified through numerical examples.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127249169","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295570
A. Shilton, D. Lai
Fuzzy support vector machine (FSVM) classifiers are a class of nonlinear binary classifiers which extend Vapnik's support vector machine (SVM) formulation. In the absence of additional information, fuzzy membership values are usually selected based on the distribution of training vectors, where a number of assumptions are made about the underlying shape of this distribution. In this paper we present an alternative method of generating membership values which we call iterative FSVM (I-FSVM). Our method generates membership values iteratively based on the positions of training vectors relative to the SVM decision surface itself. We show that our algorithm is capable of generating results equivalent to an SVM with a modified (non distance based) penalty (risk) function. Experiments have been carried out on three real world binary classification problems taken from the UCI repository, namely the spambase dataset and the adult (census) dataset.
{"title":"Iterative Fuzzy Support Vector Machine Classification","authors":"A. Shilton, D. Lai","doi":"10.1109/FUZZY.2007.4295570","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295570","url":null,"abstract":"Fuzzy support vector machine (FSVM) classifiers are a class of nonlinear binary classifiers which extend Vapnik's support vector machine (SVM) formulation. In the absence of additional information, fuzzy membership values are usually selected based on the distribution of training vectors, where a number of assumptions are made about the underlying shape of this distribution. In this paper we present an alternative method of generating membership values which we call iterative FSVM (I-FSVM). Our method generates membership values iteratively based on the positions of training vectors relative to the SVM decision surface itself. We show that our algorithm is capable of generating results equivalent to an SVM with a modified (non distance based) penalty (risk) function. Experiments have been carried out on three real world binary classification problems taken from the UCI repository, namely the spambase dataset and the adult (census) dataset.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408021","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295654
C. Borgelt, Gil Gonzáles-Rodríguez
This paper describes a Java-based graphical user interface to a large number of data analysis programs the first author has written in C over the years. In addition, this toolbox is equipped with basic visualization capabilities, like scatter plots and bar charts, but also with specialized visualization modules for decision and regression trees as well as prototype-based classifiers. The architecture is like a toolbox: individual tools refer to the different data analysis methods. All parts of this toolbox (Java as well as C based) are free and open software under the Gnu Lesser (Library) Public License.
{"title":"FrIDA -A Free Intelligent Data Analysis Toolbox","authors":"C. Borgelt, Gil Gonzáles-Rodríguez","doi":"10.1109/FUZZY.2007.4295654","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295654","url":null,"abstract":"This paper describes a Java-based graphical user interface to a large number of data analysis programs the first author has written in C over the years. In addition, this toolbox is equipped with basic visualization capabilities, like scatter plots and bar charts, but also with specialized visualization modules for decision and regression trees as well as prototype-based classifiers. The architecture is like a toolbox: individual tools refer to the different data analysis methods. All parts of this toolbox (Java as well as C based) are free and open software under the Gnu Lesser (Library) Public License.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130874880","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295432
Ru-Jen Chao, Yueh-Hsiang Chen
Multimedia material in teaching has gradually become more and more important in today's school. In order to improve the traditional way of teaching in class, various digital e-learning materials have been produced for teaching or to assist teaching in different courses. An effective teaching or learning materials depends on many factors. This paper is to investigate and compare the different influence factors of multimedia digital materials for an effective and successful teaching/learning. Firstly, a questionnaire with several design factors is going to be distributed and collected from teachers or e-learning material designers, or students. Then, the consistent fuzzy preference relation is used to evaluate the importance of these factors. The assessment can provide important information for teachers or e-learning material designers in the future e-learning material design.
{"title":"Evaluation of e-learning Material Design with Consistent Fuzzy Preference Relations","authors":"Ru-Jen Chao, Yueh-Hsiang Chen","doi":"10.1109/FUZZY.2007.4295432","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295432","url":null,"abstract":"Multimedia material in teaching has gradually become more and more important in today's school. In order to improve the traditional way of teaching in class, various digital e-learning materials have been produced for teaching or to assist teaching in different courses. An effective teaching or learning materials depends on many factors. This paper is to investigate and compare the different influence factors of multimedia digital materials for an effective and successful teaching/learning. Firstly, a questionnaire with several design factors is going to be distributed and collected from teachers or e-learning material designers, or students. Then, the consistent fuzzy preference relation is used to evaluate the importance of these factors. The assessment can provide important information for teachers or e-learning material designers in the future e-learning material design.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126681149","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295336
T. Tao, Chih-Yi Huang
Adaptive fuzzy sliding mode control schemes are proposed for tracking time-various trajectories in this paper. There are two main structures in the proposed control schemes: one is the sliding mode controller and the other is the adaptive fuzzy schemes. The sliding mode controller ensures the Lyapunov stability of the system, if the reference signal and all signals involved are bound. Next, the adaptive fuzzy schemes can improve chattering and delay phenomena in the sliding mode control system. Finally, simulation results confirm that the proposed adaptive fuzzy sliding mode control schemes can track time-various trajectories quickly and accurately.
{"title":"Adaptive Fuzzy Sliding Mode Control Schemes for Tracking Time-various Trajectories","authors":"T. Tao, Chih-Yi Huang","doi":"10.1109/FUZZY.2007.4295336","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295336","url":null,"abstract":"Adaptive fuzzy sliding mode control schemes are proposed for tracking time-various trajectories in this paper. There are two main structures in the proposed control schemes: one is the sliding mode controller and the other is the adaptive fuzzy schemes. The sliding mode controller ensures the Lyapunov stability of the system, if the reference signal and all signals involved are bound. Next, the adaptive fuzzy schemes can improve chattering and delay phenomena in the sliding mode control system. Finally, simulation results confirm that the proposed adaptive fuzzy sliding mode control schemes can track time-various trajectories quickly and accurately.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123359576","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}
Pub Date : 2007-07-23DOI: 10.1109/FUZZY.2007.4295482
Jinwu Gao, Zhi-Qiang Liu, Yian-Kui Liu
This paper investigates two-player nonzero-sum games with fuzzy payoffs. According to different decision criteria, three new definitions of Nash equilibria as well as their existence theorems are proposed. An example is also provided for illustrating these new Nash equilibria.
{"title":"Equilibrium Strategies of Two-Player Nonzero-Sum Games with Fuzzy Payoffs","authors":"Jinwu Gao, Zhi-Qiang Liu, Yian-Kui Liu","doi":"10.1109/FUZZY.2007.4295482","DOIUrl":"https://doi.org/10.1109/FUZZY.2007.4295482","url":null,"abstract":"This paper investigates two-player nonzero-sum games with fuzzy payoffs. According to different decision criteria, three new definitions of Nash equilibria as well as their existence theorems are proposed. An example is also provided for illustrating these new Nash equilibria.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055335","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}
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