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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Korean Institute of Intelligent Systems
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Journal DOI :
Korean Institute of Intelligent Systems
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Volume & Issues
Volume 13, Issue 6 - Dec 2003
Volume 13, Issue 5 - Oct 2003
Volume 13, Issue 4 - Aug 2003
Volume 13, Issue 3 - Jun 2003
Volume 13, Issue 2 - Apr 2003
Volume 13, Issue 1 - Feb 2003
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Knowledge Verification System with Unproved Pairwise Checking Method
Suh, Euy-Hyun ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 505~511
DOI : 10.5391/JKIIS.2003.13.5.505
Production rule based knowledge representation method has many advantages, but has the difficulties in maintaining the consistency of knowledge. Since the consistency maintenance of knowledge exercises a marked effect on the reliability of inference results, the system for consistency maintenance of knowledge is indispensable to increase the reliability. In the most popular pairwise checking method among consistency verification methods, the valuable rules can be omitted and it takes much time in checking the consistency when the rules are numerous. So, this paper is to propose and implement the verification system which can remove the structural errors and semantic ones, making up for the defects of pairwise checking method by using the certain property list and eventual property list and improving the steps of verification.
A Neuro-Fuzzy Modeling using the Hierarchical Clustering and Gaussian Mixture Model
Kim, Sung-Suk ; Kwak, Keun-Chang ; Ryu, Jeong-Woong ; Chun, Myung-Geun ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 512~519
DOI : 10.5391/JKIIS.2003.13.5.512
In this paper, we propose a neuro-fuzzy modeling to improve the performance using the hierarchical clustering and Gaussian Mixture Model(GMM). The hierarchical clustering algorithm has a property of producing unique parameters for the given data because it does not use the object function to perform the clustering. After optimizing the obtained parameters using the GMM, we apply them as initial parameters for Adaptive Network-based Fuzzy Inference System. Here, the number of fuzzy rules becomes to the cluster numbers. From this, we can improve the performance index and reduce the number of rules simultaneously. The proposed method is verified by applying to a neuro-fuzzy modeling for Box-Jenkins s gas furnace data and Sugeno's nonlinear system, which yields better results than previous oiles.
Observer-Based Digital fuzzy Controller Design Using Digital Redesign
Lee, Ho-Jae ; Joo, Young-Hoon ; Park, Jin-Bae ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 520~525
DOI : 10.5391/JKIIS.2003.13.5.520
This paper concerns a design methodology of observer-based output-feedback digital controller for Takagi-Sugeno(TS) fuzzy systems using intelligent digital redesign (IDR). The term of IDR involves converting an analog fuzzy-mode-based controller into an equivalent digital one in the sense of state-matching. The considered IDR problem is viewed as convex minimization problems of the norm distances between linear operators to be matched. The stability condition is easily embedded and the separations principle is explicitly shown.
Study on Collaborative Filtering Algorithm Considering Temporal Variation of User Preference
Park, Young-Yong ; Lee, Hak-Sung ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 526~529
DOI : 10.5391/JKIIS.2003.13.5.526
Recommender systems or collaborative filtering are methods to identify potentially interesting or valuable items to a particular user Under the assumption that people with similar interest tend to like the similar types of items, these methods use a database on the preference of a set of users and predict the rating on the items that the user has not rated. Usually the preference of a particular user is liable to vary with time and this temporal variation may cause an inaccurate identification and prediction. In this paper we propose a method to adapt the temporal variation of the user preference in order to improve the predictive performance of a collaborative filtering algorithm. To be more specific, the correlation weight of the GroupLens system which is a general formulation of statistical collaborative filtering algorithm is modified to reflect only recent similarity between two user. The proposed method is evaluated for EachMovie dataset and shows much better prediction results compared with GrouPLens system.
Implementation of Purchasing Pattern Classification System Using Neural Network and Association Rules
Lee, Jong-Min ; Chung, Hong ; Kim, Jin-Sang ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 530~538
DOI : 10.5391/JKIIS.2003.13.5.530
Recently the needs for keeping existing customers is increasing in the field of marketing. So, the customers needs to be classified by groups and the differentiated responses to the specified customer groups are demanded. In this paper, we implemented a system that classifies the customer groups using the neural network, and classified the purchasing patterns among customer groups. Empirically examining the association rules between two groups, we could find out that similar rules exist between them. So, it is important that customers should be classified into the excellent customer group and the general group for the decision making of marketing. This paper shows that the efficiency of the differentiated marketing can be maximized by raising the correctness of the expectation in the classification of customer groups.
Weapon-Target Assignment Using Genetic Algorithm
Kwon, Kyoung-Youb ; Joh, Joong-Seon ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 539~544
DOI : 10.5391/JKIIS.2003.13.5.539
The weapon-target assignment problem is solved using a genetic algorithm in this paper. The weapon-target assignment is an optimization problem which minimizes damages from enemy s attack or maximizes the kill probability of targets. Genetic algorithm is applied in this paper since it usually converges to a near global optimal solution. A specific structure of genetic algorithm which is suitable for the weapon-target assignment problem is proposed. A guideline selecting associated parameters is investigated through simulations. Comparition of the proposed method with several traditional optimization techniques for the weapon-target assignment problem shows the validity of the proposed method.
An Ensemble Fingerprint Classification System Using Changes of Gradient of Ridge
Yoon, Kyung-Bae ; Park, Chang-Hee ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 545~551
DOI : 10.5391/JKIIS.2003.13.5.545
Henry System which is a traditional fingerprint classification model is difficult to apply to a modem Automatic Fingerprint Identification System (AFIS). To tackle this problem, this study is to apply algorithm for an An Ensemble Fingerprint Classroom System using changes of gradient of ridge in order to improve precise joining speed of a large volume of database. The existing classification system, Henry System, is useful in a captured fingerprint image of core point and delta point using paper and ink. However, the Henry System is unapplicable in modem Automatic Fingerprint Identification System (AFIS) because of problems such as size of input sensor and way of input. This study is to suggest an Ensemble Fingerprint Classroom System which can classify 5 basic patterns of Henry System in uncaptured delta image using changes of gradient of ridge. The proposed fingerprint classification technique will make an improvement of precise joining speed by reducing data volume.
A Study on Supplier Evaluation and Selection Method Based Dependency
Ju, Jong-Moon ; Hwang, Seung-Gook ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 552~557
DOI : 10.5391/JKIIS.2003.13.5.552
The development of information ＆ technology and the Internet provides various connecting routes between manufacturers with consumers. These expanded routes has made it possible for customers to directly transfer their voice to manufacturers, but a research on how the manufacturers respond the customers needs has to be further conducted. In this paper, a method in which a best supplier would be chosen based on customers needs from the perspective of a buyer has been presented. A method that makes it possible to evaluate and choose the best supplier in accordance with consumers requirement by analyzing customers needs and the evaluated data also has been designed.
Modeling of Intelligent Avatar System
Kim, Dae-Su ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 558~563
DOI : 10.5391/JKIIS.2003.13.5.558
Recently, many people are interested in the intelligent system that connects human and computers. And the studies on the intelligent agent system that can manage computer user s diverse requirements are now being accelerated. En this paper, we study the modeling of intelligent avatar system that can provide the user more convenient and user-friendly environments by adopting intelligent avatar agent, and it can be applied to various fields. Modeling of intelligent avatar agent is accomplished and part of it is experimentally implemented, and it showed successful results in the field of avatar agent, mail check functions, and scheduler.
Adaptive Fuzzy Control of Helicopter
Jin, Zong-Hua ; Jang, Yong-Jool ; Lee, Won-Chang ; Kang, Geun-Taek ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 564~570
DOI : 10.5391/JKIIS.2003.13.5.564
This paper presents an adaptive fuzzy control scheme for nonlinear helicopter system which has uncertainty or unknown variations in parameters. The proposed adaptive fuzzy controller is a model reference adaptive controller. The parameters of fuzzy controller are adjusted so that the plant output tracks the reference model output. It is shown that the adaptive law guarantees the stability of the closed-loop system by using Lyapunov function. Several experiments with a small model helicopter having parameter variations are performed to show the usefulness of the proposed adaptive fuzzy controller.
Fuzzy least squares polynomial regression analysis using shape preserving operations
Hong, Dug-Hun ; Hwang, Chang-Ha ; Do, Hae-Young ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 571~575
DOI : 10.5391/JKIIS.2003.13.5.571
In this paper, we describe a method for fuzzy polynomial regression analysis for fuzzy input--output data using shape preserving operations for least-squares fitting. Shape preserving operations simplifies the computation of fuzzy arithmetic operations. We derive the solution using mixed nonlinear program.
The Speaker Identification Using Incremental Learning
Sim, Kwee-Bo ; Heo, Kwang-Seung ; Park, Chang-Hyun ; Lee, Dong-Wook ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 576~581
DOI : 10.5391/JKIIS.2003.13.5.576
Speech signal has the features of speakers. In this paper, we propose the speaker identification system which use the incremental learning based on neural network. Recorded speech signal through the Mic is passed the end detection and is divided voiced signal and unvoiced signal. The extracted 12 order cpestrum are used the input data for neural network. Incremental learning is the learning algorithm that the learned weights are remembered and only the new weights, that is created as adding new speaker, are trained. The architecture of neural network is extended with the number of speakers. So, this system can learn without the restricted number of speakers.
LMI Based L
Robust Stability Analysis and Design of Fuzzy Feedback Linearization Control Systems
Hyun, Chang-Ho ; Park, Chang-Woo ; Park, Mignon ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 582~589
DOI : 10.5391/JKIIS.2003.13.5.582
This paper presents the robust stability analysis and design methodology of the fuzzy feedback linearization control systems. Uncertainty and disturbances with known bounds are assumed to be included Un the Takagi-Sugeno (TS) fuzzy models representing the nonlinear plants.
robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions (DNLDI) formulation. Based on the linear matrix inequality (LMI) optimization programming, a numerical method for finding the maximum stable ranges of the fuzzy feedback linearization control gains is also proposed. To verify the effectiveness of the proposed scheme, the robust stability analysis and control design examples are given.
Speed Control of Soccer Robot Using messy Genetic Algorithm
Kim, Jung-Chan ; Joo, Young-Hoon ; Park, Hyun-Bin ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 590~595
DOI : 10.5391/JKIIS.2003.13.5.590
In this paper, we propose a new method to the speed control of soccer robot using messy Genetic Algorithm(mGA). In order to arrive in the target of the soccer robot within the smallest time ,we propose the speed control function with several parameters which represent the reflection ratio distance and angle error. Also, we propose the algorithm for searching these parameters by using messy Genetic Algorithm. As a result of finding the optimal parameters, we can move the robot the most quickly in the target under the complex environment.
Nonquadratic Stability Condition of Continuous Fuzzy Systems
Kim, Eun-Tai ; Park, Min-Kee ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 596~599
DOI : 10.5391/JKIIS.2003.13.5.596
In this paper, a new asymptotic stability condition of continuous fuzzy system is proposed. The new stability condition considers the nonquadratic stability by using the P-matrix measure. Later the relationship of the suggested stability condition and the well-known stability condition is discussed and it is shown in a rigorous manner that the proposed criterion includes the conventional conditions.
A study on the design of fault diagnostic system based on PCA
Kim, Sung-Ho ; Lee, Young-Sam ; Han, Yoon-Jong ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 600~605
DOI : 10.5391/JKIIS.2003.13.5.600
PCA(Principle Component Analysis) has emerged as a useful tool for process monitoring and fault diagnosis. The general approach requires the user to identify the root cause by interpreting the residual or principle components. This could be tedious and often impossible for a large process. In this paper, PCA scheme is combined with the FCM-based fault diagnostic algorithm to enhance the diagnostic results. The implementation of the FCM-based fault diagnostic system by using PCA is done and its application is illustrated on the two-tank system.
Radial Basis Function Network Based Predictive Control of Chaotic Nonlinear Systems
Choi, Yoon-Ho ; Kim, Se-Min ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 606~613
DOI : 10.5391/JKIIS.2003.13.5.606
As a technical method for controlling chaotic dynamics, this paper presents a predictive control for chaotic systems based on radial basis function networks(RBFNs). To control the chaotic systems, we employ an on-line identification unit and a nonlinear feedback controller, where the RBFN identifier is based on a suitable NARMA real-time modeling method and the controller is predictive control scheme. In our design method, the identifier and controller are most conveniently implemented using a gradient-descent procedure that represents a generalization of the least mean square(LMS) algorithm. Also, we introduce a projection matrix to determine the control input, which decreases the control performance function very rapidly. And the effectiveness and feasibility of the proposed control method is demonstrated with application to the continuous-time and discrete-time chaotic nonlinear system.
Some good extensions of compactness
Kim, Yong-Chan ; Abbas, S.E. ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 614~620
DOI : 10.5391/JKIIS.2003.13.5.614
The aim of this paper is to introduce good definitions of compactness, almost compactness, near compactness, weak compactness, and S-closedness in fuzzy topological spaces in Sostak s sense. These compactness related concepts are defined for arbitrary fuzzy sets and some of their properties studied.
The Growth and Behavior of a Virtual Life by using Genetic Algorithm
Kwon, Min-Su ; Kim, Do-Wan ; Hoon Kang ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 621~626
DOI : 10.5391/JKIIS.2003.13.5.621
In this paper, we modeled a virtual life (VL) that reacts to the user s action according to its own behavioral characteristics and grows itself. We established some conditions with which such a VL is designed. Genetic Algorithm is used for the growth process that changes the VL s properties. In this process, the parameter values of the VL s properties are encoded as one chromosome, and the GA operations change this chromosome. The VL s reaction to the user s action is determined by these properties as well as the general expectation of each reaction. These properties are evaluated through 5 fitness measures so as to deal with multi-objective criteria. Here, we present the simulation of the growth Process, and show some experimental results.
t-Intuitionistic Fuzzy Subgroups and Subrings
Kul Hur ; Ryou, Jang-Hyun ; Song, Hyeong-Kee ;
Journal of Korean Institute of Intelligent Systems, volume 13, issue 5, 2003, Pages 627~634
DOI : 10.5391/JKIIS.2003.13.5.627
In this paper, we introduce the concepts of t-intuitionistic fuzzy subgroups and t-intuitionistic fuzzy subrings. And we study some properties of t-subgroups and t-subrings.