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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 5, Issue 4 - Dec 2005
Volume 5, Issue 3 - Sep 2005
Volume 5, Issue 2 - Jun 2005
Volume 5, Issue 1 - Mar 2005
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A New Learning Algorithm of Neuro-Fuzzy Modeling Using Self-Constructed Clustering
Ryu, Jeong-Woong ; Song, Chang-Kyu ; Kim, Sung-Suk ; Kim, Sung-Soo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 95~101
DOI : 10.5391/IJFIS.2005.5.2.095
In this paper, we proposed a learning algorithm for the neuro-fuzzy modeling using a learning rule to adapt clustering. The proposed algorithm includes the data partition, assigning the rule into the process of partition, and optimizing the parameters using predetermined threshold value in self-constructing algorithm. In order to improve the clustering, the learning method of neuro-fuzzy model is extended and the learning scheme has been modified such that the learning of overall model is extended based on the error-derivative learning. The effect of the proposed method is presented using simulation compare with previous ones.
A Novel Low Power Design of ALU Using Ad Hoc Techniques
Agarwa, Ankur ; Pandya, A.S. ; Lho, Young-Uhg ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 102~107
DOI : 10.5391/IJFIS.2005.5.2.102
This paper presents the comparison and performance analysis for CPL and CMOS based designs. We have developed the Verilog-HDL codes for the proposed designs and simulated them using ModelSim for verifying the logical correctness and the timing properties of the proposed designs. The proposed designs are then analyzed at the layout level using LASI. The layouts of the proposed designs are simulated in Winspice for timing and power characteristics. The result shows that the new circuits presented consistently consume less power than the conventional design of the same circuits. It can also be seen that these circuits have the lesser propagation delay and thus higher speed than the conventional designs.
An Efficient Topology/Parameter Control in Evolutionary Design for Multi-domain Engineering Systems
Seo, Ki-Sung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 108~113
DOI : 10.5391/IJFIS.2005.5.2.108
This paper suggests a control method for an efficient topology/parameter evolution in a bond graph-based GP design framework that automatically synthesizes designs for multi-domain, lumped parameter dynamic systems. We adopt a hierarchical breeding control mechanism with fitness-level-dependent differences to obtain better balancing of topology/parameter search - biased toward topological changes at low fitness levels, and toward parameter changes at high fitness levels. As a testbed for this approach in bond graph synthesis, an eigenvalue assignment problem, which is to find bond graph models exhibiting minimal distance errors from target sets of eigenvalues, was tested and showed improved performance for various sets of eigenvalues.
Application of Neural Network Scheme to Performance Enhancement of Rheotruder
Kim, Sung-Ho ; Lee, Young-Sam ; Diaconescu, Bogdana ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 114~118
DOI : 10.5391/IJFIS.2005.5.2.114
Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients` quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution.
Analysis of Three-Dimensional Cracks in Inhomogeneous Materials Using Fuzzy Theory
Lee, Yang-Chang ; Lee, Joon-Seong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 119~123
DOI : 10.5391/IJFIS.2005.5.2.119
This paper describes a fuzzy-based system for analyzing the stress intensity factors (SIFs) of three-dimensional (3D) cracks. 3D finite element method(FEM) was used to obtain the SIF for subsurface cracks and surface cracks existing in inhomogeneous materials. A geometry model, i.e. a solid containing one or several 3D cracks is defined. Several distributions of local node density are chosen, and then automatically superposed on one another over the geometry model by using the fuzzy theory. Nodes are generated by the bucketing method, and ten-noded quadratic tetrahedral solid elements are generated by the Delaunay triangulation techniques. The singular elements such that the mid-point nodes near crack front are shifted at the quarter-points, and these are automatically placed along the 3D crack front. The complete FE model is generated, and a stress analysis is performed. The SIFs are calculated using the displacement extrapolation method. The results were compared with those surface cracks in homogeneous materials. Also, this system is applied to analyze cladding effect of surface cracks in inhomogeneous materials.
Autonomous Navigation of an Underwater Robot in the Presence of Multiple Moving Obstacles
Kwon, Kyoung-Youb ; Joh, Joong-Seon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 124~130
DOI : 10.5391/IJFIS.2005.5.2.124
Obstacle avoidance of underwater robots based on a modified virtual force field algorithm is proposed in this paper. The VFF(Virtual Force Field) algorithm, which is widely used in the field of mobile robots, is modified for application to the obstacle avoidance of underwater robots. This Modified Virtual Force Field(MVFF) algorithm using the fuzzy lgoc can be used in moving obstacles avoidance. A fuzzy algorithm is devised to handle various situations which can be faced during autonomous navigation of underwater robots. The proposed obstacle avoidance algorithm has ability to handle multiple moving obstacles. Results of simulation show that the proposed algorithm can be efficiently applied to obstacle avoidance of the underwater robots.
Face Recognition by Using FP-ICA Based on Secant Method
Cho, Yong-Hyun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 131~135
DOI : 10.5391/IJFIS.2005.5.2.131
This paper proposes an efficient face recognition using independent component analysis(ICA) derived from the fixed point(FP) algorithm based on secant method. The secant method can exclude the complex computation of differential process from the FP based on Newton method. The proposed ICA has been applied to recognize the 20 Yale face images of
pixels. The experimental results show that the proposed ICA is superior to PCA not only in the restoration performance of basis images but also in the recognition performance of the trained images and the test images. Then negative angle as similarity measures has better recognition ratio than city-block and Euclidean.
Fuzzy (r, s)-preopen sets
Lee, Seung-On ; Lee, Eun-Pyo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 136~139
DOI : 10.5391/IJFIS.2005.5.2.136
In this paper, we introduce the concepts of fuzzy (r,s)-preopen sets and fuzzy (r,s)-precontinuous mappings on intuitionistic fuzzy topological spaces in Sostak`s sense and then we investigate some of their characteristic properties.
Generating functions for t-norms
Kim, Yong-Chan ; Ko, Jung-Mi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 140~144
DOI : 10.5391/IJFIS.2005.5.2.140
We investigate the P-generating functions, L-generating functions, and A-generating function, respectively induced by product t-norms, Lukasiewicz t-norms and additive semi-groups. Furthermore, we investigate the relations among them.
Indirect Adaptive Fuzzy Sliding Mode Control for Nonaffine Nonlinear Systems
Seo, Sam-Jun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 145~150
DOI : 10.5391/IJFIS.2005.5.2.145
We proposed the indirect adaptive fuzzy model based sliding mode controller to control nonaffine nonlinear systems. Takagi-Sugano fuzzy system is used to represent the nonaffine nonlinear system and then inverted to design the controller at each sampling time. Also sliding mode component is employed to eliminate the effects of disturbances, while a fuzzy model component equipped with an adaptation mechanism reduces modeling uncertainties by approximating model uncertainties. The proposed controller and adaptive laws guarantee that the closed-loop system is stable in the sense of Lyapunov and the output tracks a desired trajectory asymptotically.
Learning of Cooperative Behavior between Robots in Distributed Autonomous Robotic System
Hwang, Chel-Min ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 151~156
DOI : 10.5391/IJFIS.2005.5.2.151
This paper proposes a Distributed Autonomous Robotic System(DARS) based on an Artificial Immune System(AIS) and a Classifier System(CS). The behaviors of robots in the system are divided into global behaviors and local behaviors. The global behaviors are actions to search tasks in given environment. These actions are composed of two types: aggregation and dispersion. AIS decides one among these two actions, which robot should select and act on in the global. The local behaviors are actions to execute searched tasks. The robots learn the cooperative actions in these behaviors by the CS in the local one. The proposed system will be more adaptive than the existing system at the viewpoint that the robots learn and adapt the changing of tasks.
Multimodal System by Data Fusion and Synergetic Neural Network
Son, Byung-Jun ; Lee, Yill-Byung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 157~163
DOI : 10.5391/IJFIS.2005.5.2.157
In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person`s claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.
On Fuzzy Irresolute Functions
Ekici, Erdal ; Park, Jin-Han ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 164~168
DOI : 10.5391/IJFIS.2005.5.2.164
As a generalization of the notions of fuzzy
, fuzzy preirresolute, fuzzy irresolute and fuzzy
functions, we introduce the notion of fuzzy
functions and investigate the relationships between fuzzy
functions and fuzzy separation axioms.
Saturation Compensation of a DC Motor System Using Neural Networks
Jang, Jun-Oh ; Ahn, Ihn-Seok ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 169~174
DOI : 10.5391/IJFIS.2005.5.2.169
A neural networks (NN) saturation compensation scheme for DC motor systems is presented. The scheme that leads to stability, command following and disturbance rejection is rigorously proved. On-line weights tuning law, the overall closed loop performance and the boundness of the NN weights are derived and guaranteed based on Lyapunov approach. The simulation and experimental results show that the proposed scheme effectively compensate for saturation nonlinearity in the presence of system uncertainty.
Some properties of equivalent fuzzy norms
Rhie, Gil-Seob ; Hwang, In-Ah ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 2, 2005, Pages 175~178
DOI : 10.5391/IJFIS.2005.5.2.175
In the present paper, we observe a relation between fuzzy norms and induced crisp norms on a linear space. We first prove that if
are equivalent fuzzy norms on a linear space, then for every
, the induced crisp norms
, respectively are equivalent. Since the converse does not hold, we prove it under some strict conditions. And consider the following theorem proved in : Let
be a lower semicontinuous fuzzy norm on a normed linear space X, and have the bounded support. Then
is equivalent to the fuzzy norm
where B is the closed unit ball of X. The lower semi-continuity of
is an essential condition which guarantees the continuity of
, where 0 < e < 1. As the last result, we prove that : if
is a fuzzy norm on a finite dimensional vector space, then
is equivalent to
if and only if the support of