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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 7, Issue 4 - Dec 2007
Volume 7, Issue 3 - Sep 2007
Volume 7, Issue 2 - Jun 2007
Volume 7, Issue 1 - Mar 2007
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A Fixed Point for Pair of Maps in Intuitionistic Fuzzy Mtric Space
Park, Jong-Seo ; Kim, Seon-Yu ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 159~164
DOI : 10.5391/IJFIS.2007.7.3.159
Park, Park and Kwun is defined the intuitionistic fuzzy metric space in which it is a little revised from Park. According to this paper, Park, Kwun and Park Park and Kwun, Park, Park and Kwun are established some fixed point theorems in the intuitionistic fuzzy metric space. Furthermore, Park, Park and Kwun obtained common fixed point theorem in the intuitionistic fuzzy metric space, and also, Park, Park and Kwun proved common fixed points of maps on intuitionistic fuzzy metric spaces. We prove a fixed point for pair of maps with another method from Park, Park and Kwun in intuitionistic fuzzy metric space defined by Park, Park and Kwun. Our research are an extension of Vijayaraju and Marudai`s result and generalization of Park, Park and Kwun, Park and Kwun.
A Recommendation System using Dynamic Profiles and Relative Quantification
Lee, Se-Il ; Lee, Sang-Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 165~170
DOI : 10.5391/IJFIS.2007.7.3.165
Recommendation systems provide users with proper services using context information being input from many sensors occasionally under ubiquitous computing environment. But in case there isn`t sufficient context information for service recommendation in spite of much context information, there can be problems of resulting in inexact result. In addition, in the quantification step to use context information, there are problems of classifying context information inexactly because of using an absolute classification course. In this paper, we solved the problem of lack of necessary context information for service recommendation by using dynamic profile information. We also improved the problem of absolute classification by using a relative classification of context information in quantification step. As the result of experiments, expectation preference degree was improved by 7.5% as compared with collaborative filtering methods using an absolute quantification method where context information of P2P mobile agent is used.
Determination of Multilayer Earth Model Using Genetic Algorithm
Kang, Min-Jae ; Boo, Chang-Jin ; Kim, Ho-Chan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 171~175
DOI : 10.5391/IJFIS.2007.7.3.171
In this paper a methodology has been proposed to compute the parameters of the multilayer earth model using a genetic algorithm(GA). The results provided by the GA constitute the indispensable data that can be used in circuital or field simulations of grounding systems. This methodology allows to proceed toward a very efficient simulation of the grounding system and an accurate calculation of potential on the ground`s surface. The sets of soil resistivity used for GA are measured in Jeju area.
Evolvable Neural Networks Based on Developmental Models for Mobile Robot Navigation
Lee, Dong-Wook ; Seo, Sang-Wook ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 176~181
DOI : 10.5391/IJFIS.2007.7.3.176
This paper presents evolvable neural networks based on a developmental model for navigation control of autonomous mobile robots in dynamic operating environments. Bio-inspired mechanisms have been applied to autonomous design of artificial neural networks for solving practical problems. The proposed neural network architecture is grown from an initial developmental model by a set of production rules of the L-system that are represented by the DNA coding. The L-system is based on parallel rewriting mechanism motivated by the growth models of plants. DNA coding gives an effective method of expressing general production rules. Experiments show that the evolvable neural network designed by the production rules of the L-system develops into a controller for mobile robot navigation to avoid collisions with the obstacles.
Fuzzy Logic Modeling and Its Application to A Walking-Beam Reheating Furnace
Zhang, Bin ; Wang, Jing-Cheng ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 182~187
DOI : 10.5391/IJFIS.2007.7.3.182
A fuzzy modeling method is proposed to build the dynamic model of a walking-beam reheating furnace from the recorded data. In the proposed method, the number of membership function on each variable is increased individually and the modeling accuracy is evaluated iteratively. When the modeling accuracy is satisfied, the membership functions on each variable are fixed and the structure of fuzzy model is determined. Because the training data is limited, in this process, as the number of membership function increase, it is highly possible that some rules are missing, i.e., no data in the training set corresponds to the consequent part of a missing rule. To complete the rulebase, the output of the model constructed at the previous step is used to generate the consequent part of the missing rules. Finally, in the real time application, a rolling update scheme to rulebase is introduced to compensate the change of system dynamics and fine tune the rulebase. The proposed method is verified by the application to the modeling of a reheating furnace.
Fuzzy Pairwise γ-irresoluteness
Im, Young-Bin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 188~192
DOI : 10.5391/IJFIS.2007.7.3.188
We characterize a fuzzy pairwise
continuous mapping on a fuzzy bitopological space.
Fuzzy Relations and Meet Preserving Maps
Kim, Yong-Chan ; Kim, Young-Sun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 193~197
DOI : 10.5391/IJFIS.2007.7.3.193
We investigate the properties of fuzzy relations and meet preserving maps on strictly two-sided, commutative quantales. Moreover, we study the relations between them.
Global Map Building and Navigation of Mobile Robot Based on Ultrasonic Sensor Data Fusion
Kang, Shin-Chul ; Jin, Tae-Seok ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 198~204
DOI : 10.5391/IJFIS.2007.7.3.198
In mobile robotics, ultrasonic sensors became standard devices for collision avoiding. Moreover, their applicability for map building and navigation has exploited in recent years. In this paper, as the preliminary step for developing a multi-purpose autonomous carrier mobile robot to transport trolleys or heavy goods and serve as robotic nursing assistant in hospital wards. The aim of this paper is to present the use of multi-sensor data fusion such as ultrasonic sensor, IR sensor for mobile robot to navigate, and presents an experimental mobile robot designed to operate autonomously within both indoor and outdoor environments. The global map building based on multi-sensor data fusion is applied for recognition an obstacle free path from a starting position to a known goal region, and simultaneously build a map of straight line segment geometric primitives based on the application of the Hough transform from the actual and noisy sonar data. We will give an explanation for the robot system architecture designed and implemented in this study and a short review of existing techniques, Hough transform, since there exist several recent thorough books and review paper on this paper. Experimental results with a real Pioneer DX2 mobile robot will demonstrate the effectiveness of the discussed methods.
Operations on the Similarity Measures of Fuzzy Sets
Omran, Saleh ; Hassaballah, M. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 205~208
DOI : 10.5391/IJFIS.2007.7.3.205
Measuring the similarity between fuzzy sets plays a vital role in several fields. However, none of all well-known similarity measure methods is all-powerful, and all have the localization of its usage. This paper defines some operations on the similarity measures of fuzzy sets such as summation and multiplication of two similarity measures. Also, these operations will be generalized to any number of similarity measures. These operations will be very useful especially in the field of computer vision, and data retrieval because these fields need to combine and find some relations between similarity measures.
Requirement Analysis and Architecture Design for Ubiquitous Healthcare Service Systems
Yang, Won-Seob ; Hwang, Kyung-Soon ; Lee, Keon-Myung ; Lee, Kyung-Mi ; Kim, Wun-Jae ; Yun, Seok-Jung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 209~215
DOI : 10.5391/IJFIS.2007.7.3.209
Various kind of ubiquitous healthcare services have been developed and tried in patient care and health care fields. Due to technical restrictions and not enough application practices, the service systems have been developed somewhat in ad hoc way. This paper describes the requirements for ubiquitous healthcare service systems most of which need to have and presents a ubiquitous healthcare service system architecture with which various ubiquitous healthcare services can be developed. It also introduces an application system for ubiquitous benign prostatic hyperplasia (BPH) patient care which has been developed based on the architecture.
Robust Camera Calibration using TSK Fuzzy Modeling
Lee, Hee-Sung ; Hong, Sung-Jun ; Kim, Eun-Tai ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 7, issue 3, 2007, Pages 216~220
DOI : 10.5391/IJFIS.2007.7.3.216
Camera calibration in machine vision is the process of determining the intrinsic camera parameters and the three-dimensional (3D) position and orientation of the camera frame relative to a certain world coordinate system. On the other hand, Takagi-Sugeno-Kang (TSK) fuzzy system is a very popular fuzzy system and approximates any nonlinear function to arbitrary accuracy with only a small number of fuzzy rules. It demonstrates not only nonlinear behavior but also transparent structure. In this paper, we present a novel and simple technique for camera calibration for machine vision using TSK fuzzy model. The proposed method divides the world into some regions according to camera view and uses the clustered 3D geometric knowledge. TSK fuzzy system is employed to estimate the camera parameters by combining partial information into complete 3D information. The experiments are performed to verify the proposed camera calibration.