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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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International Journal of Fuzzy Logic and Intelligent Systems
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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 6, Issue 4 - Dec 2006
Volume 6, Issue 3 - Sep 2006
Volume 6, Issue 2 - Jun 2006
Volume 6, Issue 1 - Mar 2006
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A Fault Detection System Design for Uncertain Fuzzy Systems
Yoo, Seog-Hwan ; Choi, Byung-Jae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 1~5
DOI : 10.5391/IJFIS.2006.6.1.001
This paper deals with a fault detection system design for uncertain nonlinear systems modelled as T-S fuzzy systems with the integral quadratic constraints. In order to generate a residual signal, we used a left coprime factorization of the T-S fuzzy system. From the filtered signal of the residual generator, the fault occurence can be detected effectively. A simulation study with nuclear steam generator level control system shows that the suggested method can be applied to detect the fault in actual applications.
A NOTE ON GENERALIZED NET MODEL OF E-LEARNING EVALUATION ASSOCIATED WITH INTUITIONISTIC FUZZY ESTIMATIONS
Shannon, A. ; Sotirova, E. ; Atanassov, K. ; Krawczak, M. ; Melo-Pinto, P. ; Kim, T. ; Jang, L.C. ; Kang, Dong-Jin ; Rim, S.H. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 6~9
DOI : 10.5391/IJFIS.2006.6.1.006
A generalized net is used to construct a model which describes the process of evaluation of the problems solved by students. The model utilizes the theory of intuitionistic fuzzy sets. The model can be used to simulate some processes, related to estimation of students` background.
An Optimal Clustering using Hybrid Self Organizing Map
Jun, Sung-Hae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 10~14
DOI : 10.5391/IJFIS.2006.6.1.010
Many clustering methods have been studied. For the most part of these methods may be needed to determine the number of clusters. But, there are few methods for determining the number of population clusters objectively. It is difficult to determine the cluster size. In general, the number of clusters is decided by subjectively prior knowledge. Because the results of clustering depend on the number of clusters, it must be determined seriously. In this paper, we propose an efficient method for determining the number of clusters using hybrid` self organizing map and new criterion for evaluating the clustering result. In the experiment, we verify our model to compare other clustering methods using the data sets from UCI machine learning repository.
Controllability for the Nonlinear Fuzzy Control System with Nonlocal Initial Condition in E
Lee, Bu-Young ; Park, Dong-Gun ; Choi, Gyu-Tak ; Kwun, Young-Chel ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 15~20
DOI : 10.5391/IJFIS.2006.6.1.015
In this paper we study the exact controllability for the nonlinear fuzzy control system with nonlocal initial condition in
by using the concept of fuzzy number of dimension n whose values are normal, convex, upper semicontinuous and compactly supported surface in
be the set of all fuzzy numbers in
with edges having bases parallel to axis
Design and Implementation of Customer Personalized System Using Web Log and Purchase Database
Lee Jae-Hoon ; Chung Hyun-Sook ; Lee Sung-Joo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 21~26
DOI : 10.5391/IJFIS.2006.6.1.021
In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the user`s access pattern to web site and their following purchasable items and improves their web page on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning, it employs Apriori algorithm, which is a method that searches the association rule. It reasons the web pages by considering the user`s access pattern and time by using the web log and reasons the user`s purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of user`s web pages and displays the inferred goods on user`s web pages.
Design of Model to Recognize Emotional States in a Speech
Kim Yi-Gon ; Bae Young-Chul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 27~32
DOI : 10.5391/IJFIS.2006.6.1.027
Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.
Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process
Lee In-Tae ; Oh Sung-Kwun ; Kim Hyun-Ki ; Pedrycz Witold ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 33~38
DOI : 10.5391/IJFIS.2006.6.1.033
In this paper, we propose a new architecture of Fuzzy Polynomial Neural Networks(FPNN) by means of genetically optimized Fuzzy Polynomial Neuron(FPN) and discuss its comprehensive design methodology involving mechanisms of genetic optimization, especially Genetic Algorithms(GAs). The conventional FPNN developed so far are based on mechanisms of self-organization and evolutionary optimization. The design of the network exploits the extended Group Method of Data Handling(GMDH) with some essential parameters of the network being provided by the designer and kept fixed throughout the overall development process. This restriction may hamper a possibility of producing an optimal architecture of the model. The proposed FPNN gives rise to a structurally optimized network and comes with a substantial level of flexibility in comparison to the one we encounter in conventional FPNNs. It is shown that the proposed advanced genetic algorithms based Fuzzy Polynomial Neural Networks is more useful and effective than the existing models for nonlinear process. We experimented with Medical Imaging System(MIS) dataset to evaluate the performance of the proposed model.
Human Tracking using Multiple-Camera-Based Global Color Model in Intelligent Space
Jin Tae-Seok ; Hashimoto Hideki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 39~46
DOI : 10.5391/IJFIS.2006.6.1.039
We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.
Image Reconstruction of Subspace Object Using Electrical Resistance Tomography
Boo Chang-Jin ; Kim Ho-Chan ; Kang Min-Jae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 47~51
DOI : 10.5391/IJFIS.2006.6.1.047
Electrical resistance tomograpy (ERT) maps resistivity values of the soil subsurface and characterizes buried objects. The characterization includes location, size, and resistivity of buried objects. In this paper, truncated least squares (TLS) is presented for the solution of the ERT image reconstruction. Results of numerical experiments in ERT solved by the TLS approach is presented and compared to that obtained by the Gauss-Newton method.
Indirect Adaptive Regulator Design Based on TSK Fuzzy Models
Park Chang-Woo ; Choi Jun-Hyuk ; Sung Ha-Gyeong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 52~57
DOI : 10.5391/IJFIS.2006.6.1.052
In this paper, we have proposed a new adaptive fuzzy control algorithm based on Takagi-Sugeno fuzzy model. The regulation problem for the uncertain SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the parameter approximation error is proved. Unlike the existing feedback linearization based methods, the proposed algorithm can guarantee the global stability in the presence of the singularity in the inverse dynamics of the plant. The performance of the proposed algorithm is demonstrated through the problem of balancing and swing-up of an inverted pendulum on a cart.
Parametric Study on Bellows of Piping System Using Fuzzy Theory
Lee Yang-Chang ; Lee Joon-Seong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 58~63
DOI : 10.5391/IJFIS.2006.6.1.058
This paper describes a novel automated analysis system for bellows of piping system. An automatic finite element (FE) mesh generation technique, which is based on the fuzzy theory and computational geometry technique, is incorporated into the system, together with one of commercial FE analysis codes and one of commercial solid modelers. In this system, a geometric model, i.e. an analysis model, is first defined using a commercial solid modelers for 3-D shell structures. Node is generated if its distance from existing node points is similar to the node spacing function at the point. The node spacing function is well controlled by the fuzzy knowledge processing. The Delaunay triangulation technique is introduced as a basic tool for element generation. The triangular elements are converted to quadrilateral elements. Practical performances of the present system are demonstrated through several analysis for bellows of piping system.
Inverse Model Control of An ER Damper System
Cho Jeong-Mok ; Jung Taeg-Eun ; Kim Dong-Hyeon ; Joh Joong-Seon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 64~69
DOI : 10.5391/IJFIS.2006.6.1.064
Due to the inherent nonlinear nature of Electro-rheological (ER) fluid dampers, one of the challenging aspects for utilizing these devices to achieve high system performance is the development of accurate models and control algorithms that can take advantage of their unique characteristics. In this paper, the nonlinear damping force model is made to identify the properties of the ER damper using higher order spectrum. The higher order spectral analysis is used to investigate the nonlinear frequency coupling phenomena with the damping force signal according to the sinusoidal excitation of the damper. Also, this paper presents an inverse model of the ER damper, i.e., the model can predict the required voltage so that the ER damper can produce the desired force for the requirement of vibration control of vehicle suspension systems. The inverse model is constructed by using a multi-layer perceptron neural network. A quarter-car suspension model is considered in this paper for analysis and simulation. Simulation results show that the proposed inverse model of ER damper can obtain control voltage of ER damper for required damping force.
Some generalized weak vector quasivariational-like inequalities for fuzzy mappings
Lee Byung-Soo ; Cho Hyun-Duk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 70~76
DOI : 10.5391/IJFIS.2006.6.1.070
Some Stampacchia type of generalized weak vector quasivariational-like inequalities for fuzzy mappings was introduced and the existence of solutions to them under non-compact assumption was considered using the particular form of the generalized Ky Fan`s section theorem due to Park . As a corollary, Stampacchia type of generalized vector quasivariational-like inequalities for fuzzy mappings was studied under compact assumption using Ky Fan`s section theorem .
Two types of uniform spaces
Kim Yong-Chan ; Kim Young-Sun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 77~84
DOI : 10.5391/IJFIS.2006.6.1.077
In strictly two-sided, commutative biquantale, we introduce the notion of Hutton
-uniform spaces and
-uniform spaces and investigate the properties of them.
UNION OF INTUITIONISTIC FUZZY SUBGROUPS
Hur Kul ; Kang Hee-Won ; Ryou Jang-Hyun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 6, issue 1, 2006, Pages 85~93
DOI : 10.5391/IJFIS.2006.6.1.085
We study the conditions under which a given intuitionistic fuzzy subgroup of a given group can or can not be realized as a union of two proper intuitionistic fuzzy subgroups. Moreover, we provide a simple necessary and sufficient condition for the union of an arbitrary family of intuitionistic fuzzy subgroups to be an intuitionistic fuzzy subgroup. Also we formulate the concept of intuitionistic fuzzy subgroup generated by a given intuitionistic fuzzy set by level subgroups. Furthermore we give characterizations of intuitionistic fuzzy conjugate subgroups and intuitionistic fuzzy characteristic subgroups by their level subgroups. Also we investigate the level subgroups of the homomorphic image of a given intuitionistic fuzzy subgroup.