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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 11, Issue 4 - Dec 2011
Volume 11, Issue 3 - Sep 2011
Volume 11, Issue 2 - Jun 2011
Volume 11, Issue 1 - Mar 2011
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A Matrix-Based Genetic Algorithm for Structure Learning of Bayesian Networks
Ko, Song ; Kim, Dae-Won ; Kang, Bo-Yeong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 135~142
DOI : 10.5391/IJFIS.2011.11.3.135
Unlike using the sequence-based representation for a chromosome in previous genetic algorithms for Bayesian structure learning, we proposed a matrix representation-based genetic algorithm. Since a good chromosome representation helps us to develop efficient genetic operators that maintain a functional link between parents and their offspring, we represent a chromosome as a matrix that is a general and intuitive data structure for a directed acyclic graph(DAG), Bayesian network structure. This matrix-based genetic algorithm enables us to develop genetic operators more efficient for structuring Bayesian network: a probability matrix and a transpose-based mutation operator to inherit a structure with the correct edge direction and enhance the diversity of the offspring. To show the outstanding performance of the proposed method, we analyzed the performance between two well-known genetic algorithms and the proposed method using two Bayesian network scoring measures.
Backstepping Control and Synchronization for 4-D Lorenz-Stenflo Chaotic System with Single Input
Yu, Sung-Hun ; Hyun, Chang-Ho ; Park, Mig-Non ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 143~148
DOI : 10.5391/IJFIS.2011.11.3.143
In this paper, a backstepping design is proposed to achieve stabilization and synchronization for the Lorenz-Stenflo (LS) chaotic system. The proposed method is a recursive Lyapunov-based scheme and provides a systematic procedure to design stabilizing controllers. The proposed controller enables stabilization of the chaotic motion and synchronization of two identical LS chaotic systems using only a single control input. Numerical simulations are presented to validate the proposed method.
Fixed Point Theorem for Common Property(E.A.) and Weak Compatible Functions in Intuitionistic Fuzzy Metric Space
Park, Jong-Seo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 149~152
DOI : 10.5391/IJFIS.2011.11.3.149
In this paper, we obtain common fixed point theorem for common property(E.A.) and weakly compatible functions in intuitionistic fuzzy metric space.
Fuzzy Mappings and Fuzzy Equivalence Relations
Lim, Pyung-Ki ; Choi, Ga-Hee ; Hur, Kul ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 153~164
DOI : 10.5391/IJFIS.2011.11.3.153
Equivalence relations and mappings for crisp sets are very well known. This paper attempts an investigation of equivalence relations and mappings for fuzzy sets. We list some concepts and results related to fuzzy relations. We give some examples corresponding to the concept of fuzzy equality and fuzzy mapping introduced by Demirci . In addition, we introduce the notion of preimage and quotient of fuzzy equivalence relations. Finally, we investigate relations between a fuzzy equivalence relation and a fuzzy mapping.
Fuzzy Technique-based Identification of Close and Distant Clusters in Clustering
Lee, Kyung-Mi ; Lee, Keon-Myung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 165~170
DOI : 10.5391/IJFIS.2011.11.3.165
Due to advances in hardware performance, user-friendly interfaces are becoming one of the major concerns in information systems. Linguistic conversation is a very natural way of human communications. Fuzzy techniques have been employed to liaison the discrepancy between the qualitative linguistic terms and quantitative computerized data. This paper deals with linguistic queries using clustering results on data sets, which are intended to retrieve the close clusters or distant clusters from the clustering results. In order to support such queries, a fuzzy technique-based method is proposed. The method introduces distance membership functions, namely, close and distant membership functions which transform the metric distance between two objects into the degree of closeness or farness, respectively. In order to measure the degree of closeness or farness between two clusters, both cluster closeness measure and cluster farness measure which incorporate distance membership function and cluster memberships are considered. For the flexibility of clustering, fuzzy clusters are assumed to be formed. This allows us to linguistically query close or distant clusters by constructing fuzzy relation based on the measures.
Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making
Bukhari, Ahmad C. ; Kim, Yong-Gi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 171~177
DOI : 10.5391/IJFIS.2011.11.3.171
The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.
Medoid Determination in Deterministic Annealing-based Pairwise Clustering
Lee, Kyung-Mi ; Lee, Keon-Myung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 178~183
DOI : 10.5391/IJFIS.2011.11.3.178
The deterministic annealing-based clustering algorithm is an EM-based algorithm which behaves like simulated annealing method, yet less sensitive to the initialization of parameters. Pairwise clustering is a kind of clustering technique to perform clustering with inter-entity distance information but not enforcing to have detailed attribute information. The pairwise deterministic annealing-based clustering algorithm repeatedly alternates the steps of estimation of mean-fields and the update of membership degrees of data objects to clusters until termination condition holds. Lacking of attribute value information, pairwise clustering algorithms do not explicitly determine the centroids or medoids of clusters in the course of clustering process or at the end of the process. This paper proposes a method to identify the medoids as the centers of formed clusters for the pairwise deterministic annealing-based clustering algorithm. Experimental results show that the proposed method locate meaningful medoids.
Operations on Generalized Intuitionistic Fuzzy Soft Sets
Park, Jin-Han ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 184~189
DOI : 10.5391/IJFIS.2011.11.3.184
Generalized intuitionistic fuzzy soft set theory, proposed by Park et al. [Journal of Korean Institute of Intelligent Systems 21(3) (2011) 389-394], has been regarded as an effective mathematical tool to deal with uncertainties. In this paper, we prove that certain De Margan's law hold in generalized intuitionistic fuzzy soft set theory with respect to union and intersection operations on generalized intuitionistic fuzzy soft sets. We discuss the basic properties of operations on generalized intuitionistic fuzzy soft sets such as necessity and possibility. Moreover, we illustrate their interconnections between each other.
Properties of fuzzy (r, s)-semi-irresolute Mappings in Intuitionistic Fuzzy Topological Spaces
Lee, Seok-Jong ; Kim, Jin-Tae ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 190~196
DOI : 10.5391/IJFIS.2011.11.3.190
In this paper, we introduce the concept of fuzzy (r, s)-semi-irresolute mappings on intuitionistic fuzzy topological spaces in Sostak's sense, which is a generalization of the concept of fuzzy semi-irresolute mappings introduced by S. Malakar. The characterizations for the fuzzy (r, s)-semi-irresolute mappings are obtained by terms of semi-interior, semi-
-interior, semi-clopen, and regular semi-open.
Standard Implementation for Privacy Framework and Privacy Reference Architecture for Protecting Personally Identifiable Information
Shin, Yong-Nyuo ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 197~203
DOI : 10.5391/IJFIS.2011.11.3.197
Personal Identifiable Information (PII) is considered information that identifies or can be used to identify, contact, or locate a person to whom such information pertains or that is or might be linked to a natural person directly or indirectly. In order to recognize such data processed within information and communication technologies such as PII, it should be determined at which stage the information identifies, or can be associated with, an individual. For this, there has been ongoing research for privacy protection mechanism to protect PII, which now becomes one of hot issues in the International Standard as privacy framework and privacy reference architecture. Data processing flow models should be developed as an integral component of privacy risk assessments. Such diagrams are also the basis for categorizing PII. The data processing flow may not only show areas where the PII has a certain level of sensitivity or importance and, as a consequence, requires the implementation of stronger safeguarding measures. This paper propose a standard format for satisfying the ISO/IEC 29100 "Privacy Framework" and shows an implementation example for privacy reference architecture implementing privacy controls for the processing of PII in information and communication technology.
The Classification of Electrocardiograph Arrhythmia Patterns using Fuzzy Support Vector Machines
Lee, Soo-Yong ; Ahn, Deok-Yong ; Song, Mi-Hae ; Lee, Kyoung-Joung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 204~210
DOI : 10.5391/IJFIS.2011.11.3.204
This paper proposes a fuzzy support vector machine (
) pattern classifier to classify the arrhythmia patterns of an electrocardiograph (ECG). The
is a pattern classifier which combines n-dimensional fuzzy membership functions with a slack variable of SVM. To evaluate the performance of the proposed classifier, the MIT/BIH ECG database, which is a standard database for evaluating arrhythmia detection, was used. The pattern classification experiment showed that, when classifying ECG into four patterns - NSR, VT, VF, and NSR, VT, and VF classification rate resulted in 99.42%, 99.00%, and 99.79%, respectively. As a result, the
shows better pattern classification performance than the existing SVM and FSVM algorithms.
The Visual Inspection of Key Pad Parts Using a Fuzzy Binarization Algorithm
Kim, Young-Baek ; Lee, Hong-Chang ; Rhee, Sang-Yong ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 11, issue 3, 2011, Pages 211~216
DOI : 10.5391/IJFIS.2011.11.3.211
The detection of defective parts in a factory is usually performed by the human eye. Therefore, heavy manpower is in demand for minor enterprises. An image processing system is desired to solve this drawback. However, due to the variety of the products characteristics, an general algorithm is needed that can adapt to these characteristics. Therefore, in this paper, the key pad parts' characteristics which need to be dealt with are analyzed in order to embody the image processing algorithm that is suggested. The experimental results show the probability of detecting a defective part is 95% with a detection time of 0.203 seconds, on the average.