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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 5, Issue 4 - Dec 2005
Volume 5, Issue 3 - Sep 2005
Volume 5, Issue 2 - Jun 2005
Volume 5, Issue 1 - Mar 2005
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A Note on E-Learning Dynamic Assessment with Fuzzy Estimations
Orozova Daniela ; Kim Tae-Kyun ; Kim Yung-Hwan ; Park Dal-Won ; Seo Jong-Jin ; Atanassov Krassimir ; Kang Dong-Jin ; Rim Seog-Hoon ; Jang Lee-Chae ; Ryoo Cheon-Seoung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 179~182
DOI : 10.5391/IJFIS.2005.5.3.179
A model of an assessment module has been created, using intuitionistic fuzzy estimations, which render account on the knowledge of the trained objects. The final mark is determined on the basis of a set of evaluation units. An opportunity is offered no only fur tracing the changes of the parameters of the trainer object, but there is also an opportunity of tracing the status of the already comprehended knowledge, as well as evaluating and changing the training themes and evaluation criteria.
An Application of Fuzzy Logic with Desirability Functions to Multi-response Optimization in the Taguchi Method
Kim Seong-Jun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 183~188
DOI : 10.5391/IJFIS.2005.5.3.183
Although it is widely used to find an optimum setting of manufacturing process parameters in a variety of engineering fields, the Taguchi method has a difficulty in dealing with multi-response situations in which several response variables should be considered at the same time. For example, electrode wear, surface roughness, and material removal rate are important process response variables in an electrical discharge machining (EDM) process. A simultaneous optimization should be accomplished. Many researches from various disciplines have been conducted for such multi-response optimizations. One of them is a fuzzy logic approach presented by Lin et al. . They showed that two response characteristics are converted into a single performance index based upon fuzzy logic. However, it is pointed out that information regarding relative importance of response variables is not considered in that method. In order to overcome this problem, a desirability function can be adopted, which frequently appears in the statistical literature. In this paper, we propose a novel approach for the multi-response optimization by incorporating fuzzy logic into desirability function. The present method is illustrated by an EDM data of Lin and Lin .
Concord: A Proactive Lightweight Middleware to Enable Seamless Connectivity in a Pervasive Environment
Hsu Sam ; Mutha Mahesh ; Pandya A.S. ; Lho Young-Uhg ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 189~195
DOI : 10.5391/IJFIS.2005.5.3.189
One of the major components of any pervasive system is its proactive behavior. Various models have been developed to provide system wide changes which would enable proactive behavior. A major drawback of these approaches is that they do not address the need to make use of existing applications without modifying the applications. To overcome this drawback, a middleware architecture called `Concord` is proposed. Concord is based on a simple model which consists of Lookup Server and Database. The rewards for this simple model are many. First, Concord uses the existing computing infrastructure. Second, Concord standardizes the interfaces for all services and platforms. Third, new services can be added dynamically without any need for reconfiguration. Finally, Concord consists of Database that can maintain and publish the active set of available resources. Thus Concord provides a solid system for integration of various entities to provide seamless connectivity and enable proactive behavior.
Convergence of Interval-valued Choquet integrals
Hong Dug-Hun ; Kim Kyung-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 196~199
DOI : 10.5391/IJFIS.2005.5.3.196
Recently, many types of set-valued fuzzy integrals are studied by many authors. In this paper, we consider various types of convergence theorems of Choquet integrals of interval-valued function with respect to an autocontinuous fuzzy measure.
Datamining: Roadmap to Extract Inference Rules and Design Data Models from Process Data of Industrial Applications
Bae Hyeon ; Kim Youn-Tae ; Kim Sung-Shin ; Vachtsevanos George J. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 200~205
DOI : 10.5391/IJFIS.2005.5.3.200
The objectives of this study were to introduce the easiest and most proper applications of datamining in industrial processes. Applying datamining in manufacturing is very different from applying it in marketing. Misapplication of datamining in manufacturing system results in significant problems. Therefore, it is very important to determine the best procedure and technique in advance. In previous studies, related literature has been introduced, but there has not been much description of datamining applications. Research has not often referred to descriptions of particular examples dealing with application problems in manufacturing. In this study, a datamining roadmap was proposed to support datamining applications for industrial processes. The roadmap was classified into three stages, and each stage was categorized into reasonable classes according to the datamining purposed. Each category includes representative techniques for datamining that have been broadly applied over decades. Those techniques differ according to developers and application purposes; however, in this paper, exemplary methods are described. Based on the datamining roadmap, nonexperts can determine procedures and techniques for datamining in their applications.
Design of Evolvable Hardware based on Genetic Algorithm Processor(GAP)
Sim Kwee-Bo ; Harashiam Fumio ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 206~215
DOI : 10.5391/IJFIS.2005.5.3.206
In this paper, we propose a new design method of Genetic Algorithm Processor(GAP) and Evolvable Hardware(EHW). All sorts of creature evolve its structure or shape in order to adapt itself to environments. Evolutionary Computation based on the process of natural selection not only searches the quasi-optimal solution through the evolution process, but also changes the structure to get best results. On the other hand, Genetic Algorithm(GA) is good fur finding solutions of complex optimization problems. However, it has a major drawback, which is its slow execution speed when is implemented in software of a conventional computer. Parallel processing has been one approach to overcome the speed problem of GA. In a point of view of GA, long bit string length caused the system of GA to spend much time that clear up the problem. Evolvable Hardware refers to the automation of electronic circuit design through artificial evolution, and is currently increased with the interested topic in a research domain and an engineering methodology. The studies of EHW generally use the XC6200 of Xilinx. The structure of XC6200 can configure with gate unit. Each unit has connected up, down, right and left cell. But the products can`t use because had sterilized. So this paper uses Vertex-E (XCV2000E). The cell of FPGA is made up of Configuration Logic Block (CLB) and can`t reconfigure with gate unit. This paper uses Vertex-E is composed of the component as cell of XC6200 cell in VertexE
Evaluation of Classified Information on Web Agent Using Fuzzy Theory
Kim Doo-Ywan ; Kim Tae-Ywan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 216~221
DOI : 10.5391/IJFIS.2005.5.3.216
The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.
Flexible and Scalable Formation for Swarm Systems
Kim Dong-Hun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 222~229
DOI : 10.5391/IJFIS.2005.5.3.222
This paper presents a self-organizing scheme for multi-agent swarm systems based on coupled nonlinear oscillators (CNOs). In this scheme, unicycle robots self-organize to flock and arrange group formation through attractive and repulsive forces among themselves. The main result is the maintenance of flexible and scalable formation. It is also shown how localized distributed controls are utilized throughout group behaviors such as formation and migration. In the paper, the proposed formation ensures safe separation and good cohesion performance among the robots. Several examples show that the proposed method for group formation performs the group behaviors such as reference path following, obstacle avoidance and flocking, and the formation characteristics such as flexibility and scalability, effectively.
Gesture based Input Device: An All Inertial Approach
Chang Wook ; Bang Won-Chul ; Choi Eun-Seok ; Yang Jing ; Cho Sung-Jung ; Cho Joon-Kee ; Oh Jong-Koo ; Kim Dong-Yoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 230~245
DOI : 10.5391/IJFIS.2005.5.3.230
In this paper, we develop a gesture-based input device equipped with accelerometers and gyroscopes. The sensors measure the inertial measurements, i.e., accelerations and angular velocities produced by the movement of the system when a user is inputting gestures on a plane surface or in a 3D space. The gyroscope measurements are integrated to give orientation of the device and consequently used to compensate the accelerations. The compensated accelerations are doubly integrated to yield the position of the device. With this approach, a user`s gesture input trajectories can be recovered without any external sensors. Three versions of motion tracking algorithms are provided to cope with wide spectrum of applications. Then, a Bayesian network based recognition system processes the recovered trajectories to identify the gesture class. Experimental results convincingly show the feasibility and effectiveness of the proposed gesture input device. In order to show practical use of the proposed input method, we implemented a prototype system, which is a gesture-based remote controller (Magic Wand).
Human Centered Robot for Mutual Interaction in Intelligent Space
Jin Tae-Seok ; Hashimoto Hideki ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 246~252
DOI : 10.5391/IJFIS.2005.5.3.246
Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. It is desirable for a mobile robot to carry out human affinitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible. In order to follow a human, control law is derived from the assumption that a human and a mobile robot are connected with a virtual spring model. Input velocity to a mobile robot is generated on the basis of the elastic force from the virtual spring in this model. And its performance is verified by the computer simulation and the experiment.
Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method
Park Keon-Jun ; Lee Young-Il ; Oh Sung-Kwun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 253~258
DOI : 10.5391/IJFIS.2005.5.3.253
In this study, we introduce a new category of fuzzy inference systems based on information granulation to carry out the model identification of complex and nonlinear systems. Informal speaking, information granules are viewed as linked collections of objects (data, in particular) drawn together by the criteria of proximity, similarity, or functionality. To identify the structure of fuzzy rules we use genetic algorithms (GAs). Granulation of information with the aid of Hard C-Means (HCM) clustering algorithm help determine the initial parameters of fuzzy model such as the initial apexes of the membership functions and the initial values of polynomial functions being used in the premise and consequence part of the fuzzy rules. And the initial parameters are tuned effectively with the aid of the genetic algorithms and the least square method (LSM). The proposed model is contrasted with the performance of the conventional fuzzy models in the literature.
Initial L-fuzzy quasi-uniform structures
Ko Jung-Mi ; Kim Yong-Chan ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 259~262
DOI : 10.5391/IJFIS.2005.5.3.259
We prove the existence of initial L-fuzzy (quasi-)uniform structures. From this fact, we can define subspaces and products of L-fuzzy (quasi-)uniform spaces.
Optimization of Classifier Performance at Local Operating Range: A Case Study in Fraud Detection
Park Lae-Jeong ; Moon Jung-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 263~267
DOI : 10.5391/IJFIS.2005.5.3.263
Building classifiers for financial real-world classification problems is often plagued by severely overlapping and highly skewed class distribution. New performance measures such as receiver operating characteristic (ROC) curve and area under ROC curve (AUC) have been recently introduced in evaluating and building classifiers for those kind of problems. They are, however, in-effective to evaluation of classifier`s discrimination performance in a particular class of the classification problems that interests lie in only a local operating range of the classifier, In this paper, a new method is proposed that enables us to directly improve classifier`s discrimination performance at a desired local operating range by defining and optimizing a partial area under ROC curve or domain-specific curve, which is difficult to achieve with conventional classification accuracy based learning methods. The effectiveness of the proposed approach is demonstrated in terms of fraud detection capability in a real-world fraud detection problem compared with the MSE-based approach.
Specialized Product-Line Development Methodology for Developing the Embedded System
Hong Ki-Sam ; Yoon Hee-Byung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 268~273
DOI : 10.5391/IJFIS.2005.5.3.268
We propose the specialized product-line development methodology for developing the embedded system of an MSDFS (Multi Sensor Data Fusion System : called MSDFS). The product-line methodology provides a simultaneous design between software and hardware, high level reusability. However this is insufficient in requirement analysis stage due to be focused on software architecture, detailed design and code. Thus we apply the business model based on IDEF0 technique to traditional methodology. In this paper, we describe the processes of developing Core-Asset, which are requirement analysis, feature modeling, validation. The proposed model gives the efficient result for eliciting features, and ensures the high level reusability of modules performing on embedded system.
Very High-speed Integer Fuzzy Controller Using VHDL
Lee Sang-Gu ; Carpinelli John D. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 5, issue 3, 2005, Pages 274~279
DOI : 10.5391/IJFIS.2005.5.3.274
For high-speed fuzzy control systems, an important problem is the improvement of speed for the fuzzy inference, particularly in the consequent part and the defuzzification stage. This paper introduces an algorithm to map real values of the fuzzy membership functions in the consequent part onto an integer grid, as well as a method of eliminating the unnecessary operations of the zero items in the defuzzification stage, allowing a center of gravity method to be implemented with only integer additions and one integer division. A VHDL implementation of the system is presented. The proposed system shows approximately an order of magnitude increase in speed as compared with conventional methods while introducing only a minimal error and can be used in many fuzzy controller applications.