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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 12, Issue 4 - Dec 2012
Volume 12, Issue 3 - Sep 2012
Volume 12, Issue 2 - Jun 2012
Volume 12, Issue 1 - Mar 2012
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Controller Design for Continuous-Time Takagi-Sugeno Fuzzy Systems with Fuzzy Lyapunov Functions : LMI Approach
Kim, Ho-Jun ; Joo, Young-Hoon ; Park, Jin-Bae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 187~192
DOI : 10.5391/IJFIS.2012.12.3.187
This paper is concerned with stabilization problem of continuous-time Takagi-Sugeno fuzzy systems. To do this, the stabilization problem is investigated based on the new fuzzy Lyapunov functions (NFLFs). The NFLFs depend on not only the fuzzy weighting functions but also their first-time derivatives. The stabilization conditions are derived in terms of linear matrix inequalities (LMIs) which can be solved easily by the Matlab LMI Toolbox. Simulation examples are given to illustrate the effectiveness of this method.
Electric Load Signature Analysis for Home Energy Monitoring System
Lu-Lulu, Lu-Lulu ; Park, Sung-Wook ; Wang, Bo-Hyeun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 193~197
DOI : 10.5391/IJFIS.2012.12.3.193
This paper focuses on identifying which appliance is currently operating by analyzing electrical load signature for home energy monitoring system. The identification framework is comprised of three steps. Firstly, specific appliance features, or signatures, were chosen, which are DC (Duty Cycle), SO (Slope of On-state), VO (Variance of On-state), and ZC (Zero Crossing) by reviewing observations of appliances from 13 houses for 3 days. Five appliances of electrical rice cooker, kimchi-refrigerator, PC, refrigerator, and TV were chosen for the identification with high penetration rate and total operation-time in Korea. Secondly, K-NN and Naive Bayesian classifiers, which are commonly used in many applications, are employed to estimate from which appliance the signatures are obtained. Lastly, one of candidates is selected as final identification result by majority voting. The proposed identification frame showed identification success rate of 94.23%.
Interval-Valued Fuzzy Ideals of a Ring
Lee, Keon-Chang ; Hur, Kul ; Lim, Pyung-Ki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 198~204
DOI : 10.5391/IJFIS.2012.12.3.198
We introduce the notions of interval-valued fuzzy prime ideals, interval-valued fuzzy completely prime ideals and interval-valued fuzzy weakly completely prime ideals. And we give a characterization of interval-valued fuzzy ideals and establish relationships between interval-valued fuzzy completely prime ideals and interval-valued fuzzy weakly completely prime ideals.
Interval-valued Fuzzy Normal Subgroups
Jang, Su-Yeon ; Hur, Kul ; Lim, Pyung-Ki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 205~214
DOI : 10.5391/IJFIS.2012.12.3.205
We study some properties of interval-valued fuzzy normal subgroups of a group. In particular, we obtain two characterizations of interval-valued fuzzy normal subgroups. Moreover, we introduce the concept of an interval-valued fuzzy coset and obtain several results which are analogous of some basic theorems of group theory.
Interval-valued Fuzzy Quasi-ideals in a Semigroups
Kim, Sang-Mok ; Hur, Kul ; Cheong, Min-Seok ; Chae, Gab-Byung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 215~225
DOI : 10.5391/IJFIS.2012.12.3.215
We initiate the study of interval-valued fuzzy quasi-ideal of a semigroup. In Section 2, we list some basic definitions in the later sections. In Section 3, we investigate interval-valued fuzzy subsemigroups and in Section 4, we define interval-valued fuzzy quasi-ideals and establish some of their basic properties. In Section 5, we obtain characterizations of regular and intraregular semigroups using the machinery developed in the preceding sections.
An Intelligent Auto Parking System for Vehicles
Razinkova, Anastasia ; Cho, Hyun-Chan ; Jeon, Hong-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 226~231
DOI : 10.5391/IJFIS.2012.12.3.226
Autoparking assistant systems are a new and very promising area in automotive systems engineering. Since the traffic in modern cities becomes more intense, it is getting harder for a driver. Those systems are necessary for an inexperienced one to find a proper parking slot, or to park in a narrow parking slot without damaging his car or the vehicles around. The implementation of autoparking assistant systems may reduce drivers` stress and make parking generally more comfortable. In addition, such system can be extremely useful for senior or disabled people or for drivers with reduced mobility. The implementation of autoparking assistant systems may increase the safety of the parking, and therefore the development of such systems is a highly-demanded task. We introduce an intelligent autoparking system that automatically generates trajectory for parking using a fuzzy logic. This paper consists of three parts. In first part we introduce trajectory generation method for parallel parking without collisions. Fuzzy-logic based trajectory generation algorithm is described in second part. Experimental results presented in the third part of the paper prove effectiveness of the proposed method.
(L, e)-filters on complete residuated lattices
Kim, Yong-Chan ; Ko, Jung-Mi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 232~237
DOI : 10.5391/IJFIS.2012.12.3.232
We introduce the notion of (L, e)-filters with fuzzy partially order e on complete residuated lattice L. We investigate (L, e)-filters induced by the family of (L, e)-filters and functions. In fact, we study the initial and final structures for the family of (L, e)-filters and functions. From this result, we define the product and co-product for the family of (L, e)-filters and functions.
Modeling of vision based robot formation control using fuzzy logic controller and extended Kalman filter
Rusdinar, Angga ; Kim, Sung-Shin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 238~244
DOI : 10.5391/IJFIS.2012.12.3.238
A modeling of vision based robot formation control system using fuzzy logic controller and extended Kalman filter is presented in this paper. The main problems affecting formation controls using fuzzy logic controller and vision based robots are: a robot`s position in a formation need to be maintained, how to develop the membership function in order to obtain the optimal fuzzy system control that has the ability to do the formation control and the noise coming from camera process changes the position of references view. In order to handle these problems, we propose a fuzzy logic controller system equipped with a dynamic output membership function that controls the speed of the robot wheels to handle the maintenance position in formation. The output membership function changes over time based on changes in input at time t-1 to t. The noises appearing in image processing change the virtual target point positions are handled by Extended Kalman filter. The virtual target positions are established in order to define the formations. The virtual target point positions can be changed at any time in accordance with the desired formation. These algorithms have been validated through simulation. The simulations confirm that the follower robots reach their target point in a short time and are able to maintain their position in the formation although the noises change the target point positions.
Obstacle Avoidance of Mobile Robot Based on Behavior Hierarchy by Fuzzy Logic
Jin, Tae-Seok ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 245~249
DOI : 10.5391/IJFIS.2012.12.3.245
In this paper, we propose a navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments using an ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method is used to govern the robot motions. The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. To identify the environments, a command fusion technique is introduced, where the sensory data of ultrasonic sensors and a vision sensor are fused into the identification process.
Photon-counting linear discriminant analysis for face recognition at a distance
Yeom, Seok-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 250~255
DOI : 10.5391/IJFIS.2012.12.3.250
Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.
Post-processing of Direct Teaching Trajectory in Industrial Robots
Choi, Tae-Yong ; Park, Chan-Hun ; Do, Hyun-Min ; Chung, Kwang-Cho ; Park, Dong-Il ; Kyung, Jin-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 12, issue 3, 2012, Pages 256~262
DOI : 10.5391/IJFIS.2012.12.3.256
Direct teaching of the industrial robot is a novel technique to easily teach manipulators. However, teaching data by human hand cannot help having large noise errors ranging from low to high frequency. To use teaching data, post-processing to correct the teaching trajectory is required. Here, a novel shape-based trajectory correction method to rebuild teaching data with the feature information of curvature and velocity is proposed. The proposed method is tested on square and circular objects.