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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 11, Issue 4 - Dec 2011
Volume 11, Issue 3 - Sep 2011
Volume 11, Issue 2 - Jun 2011
Volume 11, Issue 1 - Mar 2011
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A knowledge Conversion Tool for Expert Systems
Kim, Jin-S. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 1~7
DOI : 10.5391/IJFIS.2011.11.1.001
Most of expert systems use the text-oriented knowledge bases. However, knowledge management using the knowledge bases is considered as a huge burden to the knowledge workers because it includes some troublesome works. It includes chasing and/or checking activities on Consistency, Redundancy, Circulation, and Refinement of the knowledge. In those cases, we consider that they could reduce the burdens by using relational database management systems-based knowledge management infrastructure and convert the knowledge into one of easy forms human can understand. Furthermore they could concentrate on the knowledge itself with the support of the systems. To meet the expectations, in this study, we have tried to develop a general-purposed knowledge conversion tool for expert systems. Especially, this study is focused on the knowledge conversions among text-oriented knowledge base, relational database knowledge base, and decision tree.
A Note on Distances between Interval-Valued Intuitionistic Fuzzy Sets
Jang, Lee-Chae ; Kim, Won-Joo ; Kim, T. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 8~11
DOI : 10.5391/IJFIS.2011.11.1.008
Atanassov [1,2] and Szmidt and Kacprzyk[7,8] studied various methods for measuring distances between intuitionistic fuzzy sets. In this paper, we consider interval-valued intuitionistic fuzzy sets and discuss these methods for measuring distances between interval-valued intuitionistic fuzzy sets.
Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear Systems
Seo, Sam-Jun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 12~18
DOI : 10.5391/IJFIS.2011.11.1.012
This paper deals with a new adaptive fuzzy sliding mode controller and its application to an inverted pendulum. We propose a new method of adaptive fuzzy sliding mode control scheme that the fuzzy logic system is used to approximate the unknown system functions in designing the SMC of uncertain nonlinear systems. The controller's construction and its analysis involve sliding modes. The proposed controller consists of two components. 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. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum. The results show that both alleviation of chattering and performance are achieved.
Dempster-Shafer's Evidence Theory-based Edge Detection
Seo, Suk-Tae ; Sivakumar, Krishnamoorthy ; Kwon, Soon-Hak ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 19~24
DOI : 10.5391/IJFIS.2011.11.1.019
Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence theory to evaluate edgeness of the given pixel. The effectiveness of the proposed method is shown through experimental results on several test images and compared with conventional methods.
Existence of Solutions for the Impulsive Semilinear Fuzzy Intergrodifferential Equations with Nonlocal Conditions and Forcing Term with Memory in n-dimensional Fuzzy Vector Space(E
Kwun, Young-Chel ; Kim, Jeong-Soon ; Hwang, Jin-Soo ; Park, Jin-Han ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 25~32
DOI : 10.5391/IJFIS.2011.11.1.025
In this paper, we study the existence and uniqueness of solutions for the impulsive semilinear fuzzy integrodifferential equations with nonlocal conditions and forcing term with memory in n-dimensional fuzzy vector space (
) by using Banach fixed point theorem. That is an extension of the result of Kwun et al.  to impulsive system.
Interval-Valued Fuzzy mβ-continuous mappings on Interval-Valued Fuzzy Minimal Spaces
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 33~37
DOI : 10.5391/IJFIS.2011.11.1.033
We introduce the concepts of interval-valued fuzzy m
-open sets and interval-valued fuzzy m
-continuous mappings. And we study some characterizations and properties of such concepts.
On Fixed Point Theorem of Weak Compatible Maps of Type(γ) in Complete Intuitionistic Fuzzy Metric Space
Park, Jong-Seo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 38~43
DOI : 10.5391/IJFIS.2011.11.1.038
In this paper, we give definitions of compatible mappings of type(
) in intuitionistic fuzzy metric space and obtain common fixed point theorem under the conditions of weak compatible mappings of type(
) in complete intuitionistic fuzzy metric space. Our research generalize, extend and improve the results given by Sedghi et.al..
On Fuzzy Almost r-minimal Continuous Functions between Fuzzy Minimal Spaces and Fuzzy Topological Spaces
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 44~48
DOI : 10.5391/IJFIS.2011.11.1.044
The purpose of this paper is to introduce and investigate the concept of fuzzy almost r-minimal continuous function between fuzzy minimal spaces and fuzzy topological spaces. Particularly, we investigate characterizations for the fuzzy almost r-minimal continuity by using generalized fuzzy r-open sets.
Path Following Control of Mobile Robot Using Lyapunov Techniques and PID Cntroller
Jin, Tae-Seok ; Tack, Han-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 49~53
DOI : 10.5391/IJFIS.2011.11.1.049
Path following of the mobile robot is one research hot for the mobile robot navigation. For the control system of the wheeled mobile robot(WMR) being in nonhonolomic system and the complex relations among the control parameters, it is difficult to solve the problem based on traditional mathematics model. In this paper, we presents a simple and effective way of implementing an adaptive following controller based on the PID for mobile robot path following. The method uses a non-linear model of mobile robot kinematics and thus allows an accurate prediction of the future trajectories. The proposed controller has a parallel structure that consists of PID controller with a fixed gain. The control law is constructed on the basis of Lyapunov stability theory. Computer simulation for a differentially driven nonholonomic mobile robot is carried out in the velocity and orientation tracking control of the nonholonomic WMR. The simulation results of wheel type mobile robot platform are given to show the effectiveness of the proposed algorithm.
Preconnectedness Degreeof L-Fuzzy TopologicalSpaces
Ghareeb, A. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 54~58
DOI : 10.5391/IJFIS.2011.11.1.054
In this paper, we use L-fuzzy preopen operator to introduce the degree of pre-separatedness and the degree of preconnectedness in L-fuzzy topological spaces. Many characterizations of the degree of preconnectedness are presented in L-fuzzy topological spaces.
The Linear Discrepancy of a Fuzzy Poset
Cheong, Min-Seok ; Chae, Gab-Byung ; Kim, Sang-Mok ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 59~64
DOI : 10.5391/IJFIS.2011.11.1.059
In 2001, the notion of a fuzzy poset defined on a set X via a triplet (L, G, I) of functions with domain X
X and range [0, 1] satisfying a special condition L+G+I = 1 is introduced by J. Negger and Hee Sik Kim, where L is the 'less than' function, G is the 'greater than' function, and I is the 'incomparable to' function. Using this approach, we are able to define a special class of fuzzy posets, and define the 'skeleton' of a fuzzy poset in view of major relation. In this sense, we define the linear discrepancy of a fuzzy poset of size n as the minimum value of all maximum of I(x, y)
F and x, y
X with I(x, y) >
, where F is the set of all injective order-preserving maps from the fuzzy poset to the set of positive integers. We first show that the definition is well-defined. Then, it is shown that the optimality appears at the same injective order-preserving maps in both cases of a fuzzy poset and its skeleton if the linear discrepancy of a skeleton of a fuzzy poset is 1.
The Seek Control Design with Gain-Scheduling in Hard Disk Drives
Hwang, Eun-Ju ; Hyun, Chang-Ho ; Park, Mig-Non ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 1, 2011, Pages 65~70
DOI : 10.5391/IJFIS.2011.11.1.065
The increased disk rotational velocity to improve the data transfer rate has raised up many serious problems in its servo control system which should control the position and velocity of a spot relative to a rotating disk. This paper proposes gain-scheduling-based track-seek control for single stage actuator of hard disk drives. Gain scheduling is a technique that can extend the validity of the linearization approach to a range of operating points and one of the most popular approaches to nonlinear control design. The proposed method schedules controller gains to improve the transient response and minimize overshoot during the functions of the read/write head positioning servomechanism for the seek control. The validity of the proposed method is demonstrated through stability analysis and simulation results.