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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 8, Issue 4 - Dec 2008
Volume 8, Issue 3 - Sep 2008
Volume 8, Issue 2 - Jun 2008
Volume 8, Issue 1 - Mar 2008
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A Nutrition Evaluation System Based on Hierarchical Fuzzy Approach
Son, Chang-S. ; Jeong, Gu-Beom ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 87~93
DOI : 10.5391/IJFIS.2008.8.2.087
In this paper, we propose a hierarchical fuzzy based nutrition evaluation system that can analyze the individuals` nutrition status through the inference results generated by each layer. Moreover, a method to minimize the uncertainty of inference in the evaluated nutrition status is discussed. To show the effect of the uncertainty in fuzzy inference, we compared the results of nutrition evaluation with/without the certainty factor of rules on 132 people over the age of 65. From the experimental results, we can see that the evaluation method with the modified certainty factor provides better reliability than that of the general evaluation method without the certainty factor.
A Study on Resin Flow to Make a Replica Using a Silicone Mold
Bae, Kum-Soo ; Rhee, Sang-Yong ; Kim, Young-Baek ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 94~99
DOI : 10.5391/IJFIS.2008.8.2.094
The replica of silicone mold which can produce the test samples and the market-displayable products without making expensive metallic patterns is advantageous because it incurs less cost than the ordinary method that manufactures the products from the metallic patterns. However, the production of the products using silicone mold should require a technician with professional knowledge about the metallic patterns every time. Thus we tried to judge whether a forming analysis software for iron molding can be applied to silicon molding in this paper. In other words, this paper suggests a method to use a computer simulator from the designing step of the silicone mold, which is the most important part in making replica using simple silicone molds to the step of pouring the cast. The paper shows that if the know-how of a professional worker is provided in advance, an amateur worker can easily produce silicone molds of the best quality, the defective rate of the products will be decreased, and the replica will have a more complete status. By doing so, we suggested a possibility for reducing the delivery time at the production sites and for improving the product quality.
Design of Intelligent Filter for Telerobotic System
Gaponov, Igor ; Cho, Byun-Chan ; Choi, Seong-Joo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 100~104
DOI : 10.5391/IJFIS.2008.8.2.100
In this paper, intelligent filtering methodology for masterarm translation signal is proposed. Fidelity and stability are contradicting factors in teleoperation. Human hand trembling filtering is one of the problems in telemanipulation field. During every operation the hand has a certain vibration that can affect the quality of teleoperation, especially in carrying FPD (Flat Panel for Display), nanomanipuation and other precise tasks. It is very important to study the kinesthetic perception of the human and to optimize the teleoperation system accordingly. To cancel out the influence of human`s hand vibration the signal from the masterarm should be filtered. One of the feasible solutions is to use an intelligent filter based on fuzzy logic, which is a very flexible instrument. Applying intelligent filtering methodology, we can use some heuristic methods to solve the filtering problem.
Emotion Recognition Method Based on Multimodal Sensor Fusion Algorithm
Moon, Byung-Hyun ; Sim, Kwee-Bo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 105~110
DOI : 10.5391/IJFIS.2008.8.2.105
Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.
Fuzzy Weakly r-Semicontinuous Mappings
Lee, Seok-Jong ; Kim, Jin-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 111~115
DOI : 10.5391/IJFIS.2008.8.2.111
By generalizing the definition of fuzzy weakly semicontinuous mappings by B. S. Zhong, we introduce the concept of fuzzy weakly r-semicontinuous mappings in fuzzy topology of Chattopadhyay. Then the concept introduced by B. S. Zhong becomes a special case of our definition. Also, we show that fuzzy weakly r-semicontinuity and fuzzy weakly r-continuity are independent notions.
Improvement of Self Organizing Maps using Gap Statistic and Probability Distribution
Jun, Sung-Hae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 116~120
DOI : 10.5391/IJFIS.2008.8.2.116
Clustering is a method for unsupervised learning. General clustering tools have been depended on statistical methods and machine learning algorithms. One of the popular clustering algorithms based on machine learning is the self organizing map(SOM). SOM is a neural networks model for clustering. SOM and extended SOM have been used in diverse classification and clustering fields such as data mining. But, SOM has had a problem determining optimal number of clusters. In this paper, we propose an improvement of SOM using gap statistic and probability distribution. The gap statistic was introduced to estimate the number of clusters in a dataset. We use gap statistic for settling the problem of SOM. Also, in our research, weights of feature nodes are updated by probability distribution. After complete updating according to prior and posterior distributions, the weights of SOM have probability distributions for optima clustering. To verify improved performance of our work, we make experiments compared with other learning algorithms using simulation data sets.
PSN: A Dynamic Numbering Scheme for W3C XQuery Update Facility
Hong, Dong-Kweon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 121~125
DOI : 10.5391/IJFIS.2008.8.2.121
It is essential to maintain hierarchical information properly for efficient XML query processing. Well known approach to represent hierarchical information of XML tree is assigning a specific node number to each node of XML tree. Insertion and deletion of XML node can occur at any position in a dynamic XML tree. A dynamic numbering scheme allows us to add nodes to or delete nodes from an XML tree without relabeling or with relabeling only a few existing nodes of XML tree while executing XML query efficiently. According to W3C XQuery update facility specifications a node can be added as first or last child of the existing node in XML tree. Generating new number for last child requires referencing the number of previous last child. Getting the number of last child is very costly with previous approaches. We have developed a new dynamic numbering scheme PSN which is very effective for insertion of a node as last child. Our approach reduces the time to find last child dramatically by removing sorting of children.
Recursive PCA-based Remote Sensor Data Management System Applicable to Sensor Network
Kim, Sung-Ho ; Youk, Yui-Su ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 126~131
DOI : 10.5391/IJFIS.2008.8.2.126
Wireless Sensor Network(WSNs) consists of small sensor nodes with sensing, computation, and wireless communication capabilities. It has new information collection scheme and monitoring solution for a variety of applications. Faults occurring to sensor nodes are common due to the limited resources and the harsh environment where the sensor nodes are deployed. In order to ensure the network quality of service it is necessary for the WSN to be able to detect the faulty sensors and take necessary actions for the reconstruction of the lost sensor data caused by fault as earlier as possible. In this paper, we propose an recursive PCA-based fault detection and lost data reconstruction algorithm for sensor networks. Also, the performance of proposed scheme was verified with simulation studies.
Scatternet Formation Algorithm based on Relative Neighborhood Graph
Cho, Chung-Ho ; Son, Dong-Cheul ; Kim, Chang-Suk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 132~139
DOI : 10.5391/IJFIS.2008.8.2.132
This paper proposes a scatternet topology formation, self-healing, and self-routing path optimization algorithm based on Relative Neighborhood Graph. The performance of the algorithm using ns-2 and extensible Bluetooth simulator called blueware shows that even though RNG-FHR does not have superior performance, it is simpler and easier to implement in deploying the Ad-Hoc network in the distributed dynamic environments due to the exchange of fewer messages and the only dependency on local information. We realize that our proposed algorithm is more practicable in a reasonable size network than in a large scale.
Smart Cargo Monitoring System Based on Decision Support System for Liquid Carrier Tanker
Kim, Youn-Tae ; Baek, Gyeong-Dong ; Jeon, Tae-Ryong ; Kim, Sung-Shin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 140~145
DOI : 10.5391/IJFIS.2008.8.2.140
In this paper, we constructed the advanced cargo monitoring system for liquid cargo tankers which embedded the Decision Support System (DSS) based on the International Ship Management Code (ISM Code). To make this system, we first organized a base of expert`s knowledge concerning liquid tanker operations that largely affect ocean accidents. We can find out the knowledge via inference method which simply imitates the fuzzy inference method. Based on this expert`s knowledge, we constructed the DSS that provides a code of conduct for operating cargo tanks safely. The proposed monitoring system could eliminate human error when confronting dangerous situations, so the system will help sailors to operate cargo tanks safely.
Subsethood Measures Defined by Choquet Integrals
Jang, Lee-Chae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 146~150
DOI : 10.5391/IJFIS.2008.8.2.146
In this paper, we consider concepts of subsethood measure introduced by Fan et al. . Based on this, we give various subsethood measure defined by Choquet integral with respect to a fuzzy measure on fuzzy sets which is often used in information fusion and data mining as a nonlinear aggregation tool and discuss some properties of them. Furthermore, we introduce simple examples.
Takagi-Sugeno Model-Based Non-Fragile Guaranteed Cost Control for Uncertain Discrete-Time Systems with State Delay
Fang, Xiaosheng ; Wang, Jingcheng ; Zhang, Bin ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 151~157
DOI : 10.5391/IJFIS.2008.8.2.151
A non-fragile guaranteed cost control (GCC) problem is presented for a class of discrete time-delay nonlinear systems described by Takagi-Sugeno (T-S) fuzzy model. The systems are assumed to have norm-bounded time-varying uncertainties in the matrices of state, delayed state and control gains. Sufficient conditions are first obtained which guarantee that the closed-loop system is asymptotically stable and the closed-loop cost function value is not more than a specified upper bound. Then the design method of the non-fragile guaranteed cost controller is formulated in terms of the linear matrix inequality (LMI) approach. A numerical example is given to illustrate the effectiveness of the proposed design method.
The Properties of Implications and Conjunctions
Kim, Yong-Chan ; Kim, Sun-Young ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 8, issue 2, 2008, Pages 158~162
DOI : 10.5391/IJFIS.2008.8.2.158
We investigate the properties of (forcing)-implications, conjunctions and adjointness in a sense Morsi et.al [1,5].