Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
International Journal of Fuzzy Logic and Intelligent Systems
Journal Basic Information
Journal DOI :
Korean Institute of Intelligent Systems
Editor in Chief :
Volume & Issues
Volume 14, Issue 4 - Dec 2014
Volume 14, Issue 3 - Sep 2014
Volume 14, Issue 2 - Jun 2014
Volume 14, Issue 1 - Mar 2014
Selecting the target year
On a Novel Way of Processing Data that Uses Fuzzy Sets for Later Use in Rule-Based Regression and Pattern Classification
Mendel, Jerry M. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 1~7
DOI : 10.5391/IJFIS.2014.14.1.1
This paper presents a novel method for simultaneously and automatically choosing the nonlinear structures of regressors or discriminant functions, as well as the number of terms to include in a rule-based regression model or pattern classifier. Variables are first partitioned into subsets each of which has a linguistic term (called a causal condition) associated with it; fuzzy sets are used to model the terms. Candidate interconnections (causal combinations) of either a term or its complement are formed, where the connecting word is AND which is modeled using the minimum operation. The data establishes which of the candidate causal combinations survive. A novel theoretical result leads to an exponential speedup in establishing this.
Robust Video-Based Barcode Recognition via Online Sequential Filtering
Kim, Minyoung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 8~16
DOI : 10.5391/IJFIS.2014.14.1.8
We consider the visual barcode recognition problem in a noisy video data setup. Unlike most existing single-frame recognizers that require considerable user effort to acquire clean, motionless and blur-free barcode signals, we eliminate such extra human efforts by proposing a robust video-based barcode recognition algorithm. We deal with a sequence of noisy blurred barcode image frames by posing it as an online filtering problem. In the proposed dynamic recognition model, at each frame we infer the blur level of the frame as well as the digit class label. In contrast to a frame-by-frame based approach with heuristic majority voting scheme, the class labels and frame-wise noise levels are propagated along the frame sequences in our model, and hence we exploit all cues from noisy frames that are potentially useful for predicting the barcode label in a probabilistically reasonable sense. We also suggest a visual barcode tracking approach that efficiently localizes barcode areas in video frames. The effectiveness of the proposed approaches is demonstrated empirically on both synthetic and real data setup.
Neural Network Compensation for Impedance Force Controlled Robot Manipulators
Jung, Seul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 17~25
DOI : 10.5391/IJFIS.2014.14.1.17
This paper presents the formulation of an impedance controller for regulating the contact force with the environment. To achieve an accurate force tracking control, uncertainties in both robot dynamics and the environment require to be addressed. As part of the framework of the proposed force tracking formulation, a neural network is introduced at the desired trajectory to compensate for all uncertainties in an on-line manner. Compensation at the input trajectory leads to a remarkable structural advantage in that no modifications of the internal force controllers are required. Minimizing the objective function of the training signal for a neural network satisfies the desired force tracking performance. A neural network actually compensates for uncertainties at the input trajectory level in an on-line fashion. Simulation results confirm the position and force tracking abilities of a robot manipulator.
Constant Altitude Flight Control for Quadrotor UAVs with Dynamic Feedforward Compensation
Razinkova, Anastasia ; Kang, Byung-Jun ; Cho, Hyun-Chan ; Jeon, Hong-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 26~33
DOI : 10.5391/IJFIS.2014.14.1.26
This study addresses the control problem of an unmanned aerial vehicle (UAV) during the transition period when the flying mode changes from hovering to translational motion in the horizontal plane. First, we introduce a compensation algorithm that improves height stabilization and reduces altitude drop. The main principle is to incorporate pitch and roll measurements into the feedforward term of the altitude controller to provide a larger thrust force. To further improve altitude control, we propose the fuzzy logic controller that improves system behavior. Simulation results presented in the paper highlight the effectiveness of the proposed controllers.
Implementation of Telebiometrics Application System Using Mobile Device
Shin, Yong-Nyuo ; Kim, Jae-Sung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 34~40
DOI : 10.5391/IJFIS.2014.14.1.34
Today, with the wide use of mobile devices, the amount of business transactions conducted through such devices is increasing drastically. However, there are several limitations in the area of authentication for mobile use, which requires strong authentication mechanisms to satisfy security and convenience requirements. The proposed model and application system provide a framework to ensure the security and reliability of the flow of biometric information for telebiometric applications using mobile devices. We also specify protocols for each model and implement a mobile telebiometric application to improve security vulnerabilities compared to storage in a microSD match on card (MOC) based on the proposed model. As a consequence of this implementation, we propose substantial guidelines for security countermeasures from both technical and managerial perspectives in order to establish a safe mobile environment for the use of telebiometric systems.
Analysis of Indoor Robot Localization Using Ultrasonic Sensors
Naveed, Sairah ; Ko, Nak Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 41~48
DOI : 10.5391/IJFIS.2014.14.1.41
This paper analyzes the Monte Carlo localization (MCL) method, which estimates the pose of an indoor mobile robot. A mobile robot must know where it is to navigate in an indoor environment. The MCL technique is one of the most influential and popular techniques for estimation of robot position and orientation using a particle filter. For the analysis, we perform experiments in an indoor environment with a differential drive robot and ultrasonic range sensor system. The analysis uses MATLAB for implementation of the MCL and investigates the effects of the control parameters on the MCL performance. The control parameters are the uncertainty of the motion model of the mobile robot and the noise level of the measurement model of the range sensor.
Intuitionistic Smooth Bitopological Spaces and Continuity
Kim, Jin Tae ; Lee, Seok Jong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 49~56
DOI : 10.5391/IJFIS.2014.14.1.49
In this paper, we introduce intuitionistic smooth bitopological spaces and the notions of intuitionistic fuzzy semiinterior and semiclosure. Based on these concepts, the characterizations for the intuitionistic fuzzy pairwise semicontinuous mappings are obtained.
The Properties of L-lower Approximation Operators
Kim, Yong Chan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 57~65
DOI : 10.5391/IJFIS.2014.14.1.57
In this paper, we investigate the properties of L-lower approximation operators as a generalization of fuzzy rough set in complete residuated lattices. We study relations lower (upper, join meet, meet join) approximation operators and Alexandrov L-topologies. Moreover, we give their examples as approximation operators induced by various L-fuzzy relations.
Common Fixed Point and Example for Type(β) Compatible Mappings with Implicit Relation in an Intuitionistic Fuzzy Metric Space
Park, Jong Seo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 14, issue 1, 2014, Pages 66~72
DOI : 10.5391/IJFIS.2014.14.1.66
In this paper, we establish common fixed point theorem for type(
) compatible four mappings with implicit relations defined on an intuitionistic fuzzy metric space. Also, we present the example of common fixed point satisfying the conditions of main theorem in an intuitionistic fuzzy metric space.