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 10, Issue 4 - Dec 2010
Volume 10, Issue 3 - Sep 2010
Volume 10, Issue 2 - Jun 2010
Volume 10, Issue 1 - Mar 2010
Selecting the target year
An Extended Version of the CPT-based Estimation for Missing Values in Nominal Attributes
Ko, Song ; Kim, Dae-Won ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 253~258
DOI : 10.5391/IJFIS.2010.10.4.253
The causal network represents the knowledge related to the dependency relationship between all attributes. If the causal network is available, the dependency relationship can be employed to estimate the missing values for improving the estimation performance. However, the previous method had a limitation in that it did not consider the bidirectional characteristic of the causal network. The proposed method considers the bidirectional characteristic by applying prior and posterior conditions, so that it outperforms the previous method.
Evaluation of certainty and uncertainty for Intuitionistic Fuzzy Sets
Wang, Hong-Mei ; Lee, Sang-Hyuk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 259~262
DOI : 10.5391/IJFIS.2010.10.4.259
Study about fuzzy entropy and similarity measure on intuitionistic fuzzy sets (IFSs) were proposed, and analyzed. Unlike fuzzy set, IFSs contains uncertainty named hesistancy, which is contained in fuzzy membership function itself. Hence, designing fuzzy entropy is not easy because of ununified entropy definition. By considering different fuzzy entropy definitions, fuzzy entropy is designed and discussed their relation. Similarity measure was also presented and verified its usefulness to evaluate degree of similarity.
Fast Evolution by Multiple Offspring Competition for Genetic Algorithms
Jung, Sung-Hoon ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 263~268
DOI : 10.5391/IJFIS.2010.10.4.263
The premature convergence of genetic algorithms (GAs) is the most major factor of slow evolution of GAs. In this paper we propose a novel method to solve this problem through competition of multiple offspring of in dividuals. Unlike existing methods, each parents in our method generates multiple offspring and then generated multiple offspring compete each other, finally winner offspring become to real offspring. From this multiple offspring competition, our GA rarel falls into the premature convergence and easily gets out of the local optimum areas without negative effects. This makes our GA fast evolve to the global optimum. Experimental results with four function optimization problems showed that our method was superior to the original GA and had similar performances to the best ones of queen-bee GA with best parameters.
Filter Convergence and Fuzzy Topology
Min, Kyung-Chan ; Lee, Yoon-Jin ; Myung, Jae-Deuk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 269~274
DOI : 10.5391/IJFIS.2010.10.4.269
After introducing many different types of prefilter convergence, we introduce an universal method to define various notions of compactness using cluster point and convergence of a prefilter and to prove the Tychonoff theorem using characterizations of ultra(maximal) prefilters.
Information Quantification Application to Management with Fuzzy Entropy and Similarity Measure
Wang, Hong-Mei ; Lee, Sang-Hyuk ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 275~280
DOI : 10.5391/IJFIS.2010.10.4.275
Verification of efficiency in data management fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem and numerical data similarity evaluation. In order to calculate the certainty or uncertainty fuzzy entropy and similarity measure are designed and proved. Designed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration. Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.
Landmark Detection Based on Sensor Fusion for Mobile Robot Navigation in a Varying Environment
Jin, Tae-Seok ; Kim, Hyun-Sik ; Kim, Jong-Wook ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 281~286
DOI : 10.5391/IJFIS.2010.10.4.281
We propose a space and time based sensor fusion method and a robust landmark detecting algorithm based on sensor fusion for mobile robot navigation. To fully utilize the information from the sensors, first, this paper proposes a new sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable an accurate measurement. Exploration of an unknown environment is an important task for the new generation of mobile robots. The mobile robots may navigate by means of a number of monitoring systems such as the sonar-sensing system or the visual-sensing system. The newly proposed, STSF (Space and Time Sensor Fusion) scheme is applied to landmark recognition for mobile robot navigation in an unstructured environment as well as structured environment, and the experimental results demonstrate the performances of the landmark recognition.
Multi-person Multi-attribute Decision Making Problems Based on Interval-valued Intuitionistic Fuzzy Information
Park, Jin-Han ; Kwun, Young-Chel ; Son, Mi-Jung ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 287~295
DOI : 10.5391/IJFIS.2010.10.4.287
Based on the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued in tuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy numbers, and the information about attribute weights is partially known. Anumerical example is used to illustrate the applicability of the proposed approach.
On Fuzzifying Nearly Compact Spaces
Zahran, A.M. ; Sayed, O.R. ; Abd-Allah, M. Azab ; Mousa, A.K. ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 296~302
DOI : 10.5391/IJFIS.2010.10.4.296
This paper considers fuzzifying topologies, a special case of I-fuzzy topologies (bifuzzy topologies) introduced by Ying [16, (I)]. It investigates topological notions defined by means of regular open sets when these are planted into the frame-work of Ying's fuzzifying topological spaces (in
ukasiewwicz fuzzy logic). The concept of fuzzifying nearly compact spaces is introduced and some of its properties are obtained. We use the finite intersection property to give a characterization of fuzzifying nearly compact spaces. Furthermore, we study the image of fuzzifying nearly compact spaces under fuzzifying completely continuous functions, fuzzifying almost continuity and fuzzifying R-map.
On Fuzzy Weak r-minimal Continuity Between Fuzzy Minimal Spaces and Fuzzy Topological Spaces
Min, Won-Keun ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 303~307
DOI : 10.5391/IJFIS.2010.10.4.303
In this paper, we introduce the concept of fuzzy weakly r-minimal continuous function between a fuzzy r-minimal space and a fuzzy topological space. We investigate characterizations and some properties for the continuity.
Performance Index-Based Evaluation of Quadruped RoboticWalking Configuration
Kim, Byoung-Ho ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 308~313
DOI : 10.5391/IJFIS.2010.10.4.308
This paper presents a performance index-based evaluation for a better quadruped robotic walking configuration. For this purpose, we propose a balance-based performance index that enables to evaluate the walk configuration of quadruped robots in terms of balance. In order to show the effectiveness the proposed performance index, we consider some types of walking configurations for a quadruped robotic walking and analyze the trend of the proposed performance index in those quadrupedal walking. Through the simulation study, it is shown that an effective walk configuration for a quadrupedal walking can be planned by adopting the proposed performance index.
Protein Secondary Structure Prediction using Multiple Neural Network Likelihood Models
Kim, Seong-Gon ; Kim, Yong-Gi ;
International Journal of Fuzzy Logic and Intelligent Systems, volume 10, issue 4, 2010, Pages 314~318
DOI : 10.5391/IJFIS.2010.10.4.314
Predicting Alpha-helicies, Beta-sheets and Turns of a proteins secondary structure is a complex non-linear task that has been approached by several techniques such as Neural Networks, Genetic Algorithms, Decision Trees and other statistical or heuristic methods. This project introduces a new machine learning method by combining Bayesian Inference with offline trained Multilayered Perceptron (MLP) models as the likelihood for secondary structure prediction of proteins. With varying window sizes of neighboring amino acid information, the information is extracted and passed back and forth between the Neural Net and the Bayesian Inference process until the posterior probability of the secondary structure converges.