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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 9, Issue 4 - Dec 2009
Volume 9, Issue 3 - Sep 2009
Volume 9, Issue 2 - Jun 2009
Volume 9, Issue 1 - Mar 2009
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A Feasible Approximation to Optimum Decision Support System for Multidimensional Cases through a Modular Decomposition
Vrana, Ivan ; Aly, Shady ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 249~254
DOI : 10.5391/IJFIS.2009.9.4.249
The today's decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge's, decision making tools and possibly expertise's pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.
An Application of Human-Centered Multimedia System for Medical Implementation
Ko, Je-Suk ; Kitjongthawonkul, Somkiat ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 255~260
DOI : 10.5391/IJFIS.2009.9.4.255
Multimedia interpretation describes a high level of ion of multimedia content like interrelations and coherencies. In this paper, we describe a multimedia interpretation component from human-centered perspective. In this context, we see the role of the multimedia interpretation component as a liaison between the psychological apparatuses and computer-based artifact. We emphasize this role of multimedia interpretation by outlining a mapping process of the psychological apparatuses and computer-based artifact. This mapping process needs to be transparent to its user so that effective human-centered systems can be achieved. This transparency will provide an immersive environment for the users and enable uninhibited interaction between the users and the artifact. Furthermore, we illustrate how the multimedia interpretation component can be utilized in the medical diagnosis and treatment support application.
-compactness in L-Fuzzy Topological Spaces
Saad, Ali Kandil ; Tantawy, Osama A. E. ; Yakout, Mohammed Mostafa ; Saleh, Salem Ali M. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 261~268
DOI : 10.5391/IJFIS.2009.9.4.261
In this paper we introduce stronger form of the notion of cover so-called p-cover which is more appropriate. According to this cover we introduce and study another type of compactness in L-fuzzy topology so-called
-compact and study some of its properties with some interrelation.
Calculation of Data Reliability with Entropy for Fuzzy Sets
Wang, Hongmei ; Lee, Sang-Hyuk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 269~274
DOI : 10.5391/IJFIS.2009.9.4.269
Measuring uncertainty for fuzzy sets has been carried out by calculating fuzzy entropy. Fuzzy entropy of fuzzy set is derived with the help of distance measure. The distance proportional value between the fuzzy set and the corresponding crisp set is designed as the fuzzy entropy. The usefulness is verified by proving the proposed entropy. Generally, fuzzy entropy contains the complementary characteristics that the fuzzy entropies of fuzzy set and complementary fuzzy set have the same entropies. Discrepancy that low fuzzy entropy did not guarantee the data certainty was overcome by modifying fuzzy entropy formulation. Obtained fuzzy entropy is analyzed and discussed through simple example.
Design of Genetic Algorithm-based Parking System for an Autonomous Vehicle
Xiong, Xing ; Choi, Byung-Jae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 275~280
DOI : 10.5391/IJFIS.2009.9.4.275
A Genetic Algorithm (GA) is a kind of search techniques used to find exact or approximate solutions to optimization and searching problems. This paper discusses the design of a genetic algorithm-based intelligent parking system. This is a search strategy based on the model of evolution to solve the problem of parking systems. A genetic algorithm for an optimal solution is used to find a series of optimal angles of the moving vehicle at a parking space autonomously. This algorithm makes the planning simpler and the movement more effective. At last we present some simulation results.
Fuzzy r-Compactness on Fuzzy r-Minimal Spaces
Kim, Jung-Il ; Min, Won-Keun ; Yoo, Young-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 281~284
DOI : 10.5391/IJFIS.2009.9.4.281
In , we introduced the concept of fuzzy r-minimal structure which is an extension of smooth fuzzy topological spaces and fuzzy topological spaces in Chang's sense. And we also introduced and studied the fuzzy r-M continuity. In this paper, we introduce the concepts of fuzzy r-minimal compactness on fuzzy r-minimal compactness and nearly fuzzy r-minimal compactness, almost fuzzy r-minimal spaces and investigate the relationships between fuzzy r-M continuous mappings and such types of fuzzy r-minimal compactness.
Fuzzzy Functions and Fuzzy Partially Ordered Sets
Hur, Kul ; Jung, Hyo-Mi ; Lee, Wang-Ro ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 285~293
DOI : 10.5391/IJFIS.2009.9.4.285
By using the notion of fuzzy functions introduced by Dib and Youssef, we obtain fuzzy analogues of some results concerning ordinary functions. In particular, we give the denition dierent from one of invertible fuzzy function introduced by Dib and Youssef. And we show that the two denitions are equivalent. Furthermore, we introduce the concepts of fuzzy increasing functions and fuzzy isomorphisms, and we obtain fuzzy analogues of many results concerning ordinary increasing functions and isomorphisms.
Implementation of an Adaptive Robust Neural Network Based Motion Controller for Position Tracking of AC Servo Drives
Kim, Won-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 294~300
DOI : 10.5391/IJFIS.2009.9.4.294
The neural network with radial basis function is introduced for position tracking control of AC servo drive with the existence of system uncertainties. An adaptive robust term is applied to overcome the external disturbances. The proposed controller is implemented on a high performance digital signal processing DSP TMS320C6713-300. The stability and the convergence of the system are proved by Lyapunov theory. The validity and robustness of the controller are verified through simulation and experimental results
Intelligent Data Reduction Algorithm for Sensor Network based Fault Diagnostic System
Youk, Yui-Su ; Kim, Sung-Ho ; Joo, Young-Hoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 301~308
DOI : 10.5391/IJFIS.2009.9.4.301
In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.
Neuro-Fuzzy Control of Inverted Pendulum System for Intelligent Control Education
Lee, Geun-Hyung ; Jung, Seul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 309~314
DOI : 10.5391/IJFIS.2009.9.4.309
This paper presents implementation of the adaptive neuro-fuzzy control method. Control performance of the adaptive neuro-fuzzy control method for a popular inverted pendulum system is evaluated. The inverted pendulum system is designed and built as an education kit for educational purpose for engineering students. The educational kit is specially used for intelligent control education. Control purpose is to satisfy balancing angle and desired trajectory tracking performance. The adaptive neuro-fuzzy controller has the Takagi-Sugeno(T-S) fuzzy structure. Back-propagation algorithm is used for updating weights in the fuzzy control. Control performances of the inverted pendulum system by PID control method and the adaptive neuro-fuzzy control method are compared. Control hardware of a DSP 2812 board is used to achieve the real-time control performance. Experimental studies are conducted to show successful control performances of the inverted pendulum system by the adaptive neuro-fuzzy control method.
Path Planning for Autonomous Mobile Robot using Potential Field
Jung, Kwang-Min ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 315~320
DOI : 10.5391/IJFIS.2009.9.4.315
The popularity of autonomous mobile robots have been rapidly increasing due to their new emerging application areas, from room cleaning, tourist guidance to space explorations. However, the development of a satisfactory control algorithm that will enable the autonomous mobile robots to navigate safely especially in dynamic environments is still an open research problem. In this paper, a newly proposed potential field based control method is implemented, analyzed, and improvements are suggested based on experimental results obtained from simulations. The experimental results are presented to show the effectiveness of the behavior-based control using the proposed potential field generation technique.
Self-Localization Algorithm for a Mobile Air Cleaner
Kim, Young-Baek ; Cho, Jin-Hee ; Rhee, Sang-Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 321~326
DOI : 10.5391/IJFIS.2009.9.4.321
The mobile air cleaner analyzes a distribution of polluted air to purify the air fast, calculates an optimal position and moves the position so that it can remove indoor dust more quickly. At this time, the self-localization is necessary to make the mobile air cleaner move accurately to the calculated position. This paper proposed a self-localization algorithm having high accuracy without complicated calculation and implemented it by combining a ultrasonic sensor and video processing technologies, so that it is suitable for a mobile air cleaner, and as a test result, the mean error of
appeared between the actually measured position and the calculated position.
Short-term Electrical Load Forecasting Using Neuro-Fuzzy Model with Error Compensation
Wang, Bo-Hyeun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 327~332
DOI : 10.5391/IJFIS.2009.9.4.327
This paper proposes a method to improve the accuracy of a short-term electrical load forecasting (STLF) system based on neuro-fuzzy models. The proposed method compensates load forecasts based on the error obtained during the previous prediction. The basic idea behind this approach is that the error of the current prediction is highly correlated with that of the previous prediction. This simple compensation scheme using error information drastically improves the performance of the STLF based on neuro-fuzzy models. The viability of the proposed method is demonstrated through the simulation studies performed on the load data collected by Korea Electric Power Corporation (KEPCO) in 1996 and 1997.
Task-Based Analysis on Number of Robotic Fingers for Compliant Manipulations
Kim, Byoung-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 333~338
DOI : 10.5391/IJFIS.2009.9.4.333
This paper presents a task-based analysis on the number of independent robotic fingers required for compliant manipulations. Based on the stiffness relation between operational space and fingertip space of a multi-fingered object manipulating system, we describe a technique for modulation of the fingertip stiffness without inter-finger coupling so as to achieve the desired stiffness specified in the operational space. Thus, we provides a guide line how many fingers are basically required for successful multi-fingered compliant tasks. Consequently, this paper enables us to assign effectively the number of fingers for various compliant manipulations by robot hands.
The existence and uniqueness of fuzzy solutions for semilinear fuzzy integrodifferential equations using integral contractor
Lee, Bu-Young ; Kwun, Young-Chel ; Ahn, Young-Chel ; Park, Jin-Han ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 9, issue 4, 2009, Pages 339~342
DOI : 10.5391/IJFIS.2009.9.4.339
In this paper, we investigate the existence and uniqueness of fuzzy solutions for semilinear fuzzy integrodifferential equations using integral contractor. The notion of 'bounded integral contractor', introduced by Altman, is weaker than Lipschitz condition.