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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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Korean Institute of Intelligent Systems
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Volume & Issues
Volume 13, Issue 4 - Dec 2013
Volume 13, Issue 3 - Sep 2013
Volume 13, Issue 2 - Jun 2013
Volume 13, Issue 1 - Mar 2013
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Associations Among Information Granules and Their Optimization in Granulation-Degranulation Mechanism of Granular Computing
Pedrycz, Witold ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 245~253
DOI : 10.5391/IJFIS.2013.13.4.245
Knowledge representation realized by information granules is one of the essential facets of granular computing and an area of intensive research. Fuzzy clustering and clustering are general vehicles to realize formation of information granules. Granulation - degranulation paradigm is one of the schemes determining and quantifying functionality and knowledge representation capabilities of information granules. In this study, we augment this paradigm by forming and optimizing a collection of associations among original and transformed information granules. We discuss several transformation schemes and analyze their properties. A series of numeric experiments is provided using which we quantify the improvement of the degranulation mechanisms offered by the optimized transformation of information granules.
An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering
Frigui, Hichem ; Bchir, Ouiem ; Baili, Naouel ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 254~268
DOI : 10.5391/IJFIS.2013.13.4.254
For real-world clustering tasks, the input data is typically not easily separable due to the highly complex data structure or when clusters vary in size, density and shape. Kernel-based clustering has proven to be an effective approach to partition such data. In this paper, we provide an overview of several fuzzy kernel clustering algorithms. We focus on methods that optimize an fuzzy C-mean-type objective function. We highlight the advantages and disadvantages of each method. In addition to the completely unsupervised algorithms, we also provide an overview of some semi-supervised fuzzy kernel clustering algorithms. These algorithms use partial supervision information to guide the optimization process and avoid local minima. We also provide an overview of the different approaches that have been used to extend kernel clustering to handle very large data sets.
Real-Time Road Traffic Management Using Floating Car Data
Runyoro, Angela-Aida K. ; Ko, Jesuk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 269~276
DOI : 10.5391/IJFIS.2013.13.4.269
Information and communication technology (ICT) is a promising solution for mitigating road traffic congestion. ICT allows road users and vehicles to be managed based on real-time road status information. In Tanzania, traffic congestion causes losses of TZS 655 billion per year. The main objective of this study was to develop an optimal approach for integrating real-time road information (RRI) to mitigate traffic congestion. Our research survey focused on three cities that are highly affected by traffic congestion, i.e., Arusha, Mwanza, and Dar es Salaam. The results showed that ICT is not yet utilized fully to solve road traffic congestion. Thus, we established a possible approach for Tanzania based on an analysis of road traffic data provided by organizations responsible for road traffic management and road users. Furthermore, we evaluated the available road information management techniques to test their suitability for use in Tanzania. Using the floating car data technique, fuzzy logic was implemented for real-time traffic level detection and decision making. Based on this solution, we propose a RRI system architecture, which considers the effective utilization of readily available communication technology in Tanzania.
Modeling of Dynamic Hysteresis Based on Takagi-Sugeno Fuzzy Duhem Model
Lee, Sang-Yun ; Park, Mignon ; Baek, Jaeho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 277~283
DOI : 10.5391/IJFIS.2013.13.4.277
In this study, we propose a novel method for modeling dynamic hysteresis. Hysteresis is a widespread phenomenon that is observed in many physical systems. Many different models have been developed for representing a hysteretic system. Among them, the Duhem model is a classical nonlinear dynamic hysteresis model satisfying the properties of hysteresis. The purpose of this work is to develop a novel method that expresses the local dynamics of the Duhem model by a linear system model. Our approach utilizes a certain type of fuzzy system that is based on Takagi-Sugeno (T-S) fuzzy models. The proposed T-S fuzzy Duhem model is achieved by fuzzy blending of the linear system model. A simulated example applied to shape memory alloy actuators, which have typical hysteretic properties, illustrates the applicability of our proposed scheme.
Comparative Analysis of Detection Algorithms for Corner and Blob Features in Image Processing
Xiong, Xing ; Choi, Byung-Jae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 284~290
DOI : 10.5391/IJFIS.2013.13.4.284
Feature detection is very important to image processing area. In this paper we compare and analyze some characteristics of image processing algorithms for corner and blob feature detection. We also analyze the simulation results through image matching process. We show that how these algorithms work and how fast they execute. The simulation results are shown for helping us to select an algorithm or several algorithms extracting corner and blob feature.
Chaotic Phenomena in Addiction Model for Digital Leisure
Bae, Youngchul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 291~297
DOI : 10.5391/IJFIS.2013.13.4.291
Chaotic dynamics have been studied by many researchers in the fields of biology, physics, and engineering. Interest in chaos is also expanding to the social sciences such as politics, economics, and others, including the prediction of societal events. The concept of leisure has developed from a passive concept correlated with relaxation, entertainment, and ideology formation into a positive concept that assumes a more active role. As information and communications technology develops, digital leisure activity is expected to continue spreading. This expansion of digital leisure function correctly, as well as. Traditional leisure activity functions correctly more, whereas digital leisure activity is predicted to function incorrectly more often. In this paper, we propose a mathematical addiction model of digital leisure that deals with its dysfunctions such as addiction to digital leisure, including computer games, internet search, internet chatting, and social media. Herein, to solve addiction to digital leisure, we propose a model derived from a nicotine addiction.
A Modified Expansion-Contraction Method for Mobile Object Tracking in Video Surveillance: Indoor Environment
Kang, Jin-Shig ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 298~306
DOI : 10.5391/IJFIS.2013.13.4.298
Recent years have witnessed a growing interest in the fields of video surveillance and mobile object tracking. This paper proposes a mobile object tracking algorithm. First, several parameters such as object window, object area, and expansion-contraction (E-C) parameter are defined. Then, a modified E-C algorithm for multiple-object tracking is presented. The proposed algorithm tracks moving objects by expansion and contraction of the object window. In addition, it includes methods for updating the background image and avoiding occlusion of the target image. The validity of the proposed algorithm is verified experimentally. For example, the first scenario traces the path of two people walking in opposite directions in a hallway, whereas the second one is conducted to track three people in a group of four walkers.
Positioning and Driving Control of Fork-type Automatic Guided Vehicle With Laser Navigation
Kim, Jaeyong ; Cho, Hyunhak ; Kim, Sungshin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 307~314
DOI : 10.5391/IJFIS.2013.13.4.307
We designed and implemented a fork-type automatic guided vehicle (AGV) with a laser guidance system. Most previous AGVs have used two types of guidance systems: magnetgyro and wire guidance. However, these guidance systems have high costs, are difficult to maintain with changes in the operating environment, and can drive only a pre-determined path with installed sensors. A laser guidance system was developed for addressing these issues, but limitations including slow response time and low accuracy remain. We present a laser guidance system and control system for AGVs with laser navigation. For analyzing the performance of the proposed system, we designed and built a fork-type AGV, and performed repetitions of our experiments under the same working conditions. The results show an average positioning error of 51.76 mm between the simulated driving path and the driving path of the actual fork-type AGV. Consequently, we verified that the proposed method is effective and suitable for use in actual AGVs.
Prediction Table for Marine Traffic for Vessel Traffic Service Based on Cognitive Work Analysis
Kim, Joo-Sung ; Jeong, Jung Sik ; Park, Gyei-Kark ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 315~323
DOI : 10.5391/IJFIS.2013.13.4.315
Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of "IMO RESOLUTION A.857 (20) on Guidelines for Vessel Traffic Services". Currently, VTS plays an important role in the prevention of maritime accidents, as ships are required to participate in the system. Ships are diversified and traffic situations in ports and coastal areas have become more complicated than before. The role of VTS operator (VTSO) has been enlarged because of these reasons, and VTSO is required to be clearly aware of maritime situations and take decisions in emergency situations. In this paper, we propose a prediction table to improve the work of VTSO through the Cognitive Work Analysis (CWA), which analyzes the VTS work very systematically. The required data were collected through interviews and observations of 14 VTSOs. The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.
Design, Control, and Implementation of Small Quad-Rotor System Under Practical Limitation of Cost Effectiveness
Jeong, Seungho ; Jung, Seul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 324~335
DOI : 10.5391/IJFIS.2013.13.4.324
This article presents the design, control, and implementation of a small quad-rotor system under the practical limitation of being cost effective for private use, such as in the cases of control education or hobbies involving radio-controlled systems. Several practical problems associated with implementing a small quad-rotor system had to be taken into account to satisfy this cost constraint. First, the size was reduced to attain better maneuverability. Second, the main control hardware was limited to an 8-bit processor such as an AVR to reduce cost. Third, the algorithms related to the control and sensing tasks were optimized to be within the computational capabilities of the available processor within one sampling time. A small quad-rotor system was ultimately implemented after satisfying all of the above practical limitations. Experimental studies were conducted to confirm the control performance and the operational abilities of the system.
Intuitionistic Fuzzy δ-continuous Functions
Eom, Yeon Seok ; Lee, Seok Jong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 336~344
DOI : 10.5391/IJFIS.2013.13.4.336
In this paper, we characterize the intuitionistic fuzzy
-continuous, intuitionistic fuzzy weakly
-continuous, intuitionistic fuzzy almost continuous, and intuitionistic fuzzy almost strongly
-continuous functions in terms of intuitionistic fuzzy
-closure and interior or
-closure and interior.
Fuzzy Connections and Relations in Complete Residuated Lattices
Kim, Yong Chan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 13, issue 4, 2013, Pages 345~351
DOI : 10.5391/IJFIS.2013.13.4.345
In this paper, we investigate the properties of fuzzy Galois (dual Galois, residuated, and dual residuated) connections in a complete residuated lattice L. We give their examples. In particular, we study fuzzy Galois (dual Galois, residuated, dual residuated) connections induced by L-fuzzy relations.