• 한국지능시스템학회논문지
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• 제16권3호
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• pp.326-331
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• 2006

A great deal of research has been made to model the vagueness and uncertainty in information retrieval. One such research is fuzzy ranking models, which have been showing their superior performance in handling the uncertainty involved in the retrieval process. In this study we develop a new fuzzy ranking model based on the user preference. Through the experiments on the TREC-2 collection of Wall Street Journal documents, we show that the proposed method outperforms the conventional fuzzy ranking models.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2003년도 학술.기술논문발표회
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• pp.119-124
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• 2003

Lately Construction industry tends to prefer remodeling of existing building rather then new construction or reconstruction of buildings due to strengthening of several restriction related to real estates along with prolonged depression. Specially in case of Apartment houses, since vagueness on ownership and management authority on common part exists. So in this study we are to present the procedure of analyzing apartment house remodeling method through user request by approaching to several considerable factors in user request side.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1078-1081
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• 1993

The Objective of this paper is to provide fuzzy control designers with a design tool for stable fuzzy logic controllers. Given multiple sets of data disturbed by vagueness uncertainty, we generate the implicative rules that guarantee stability and robustness of closed-loop fuzzy dynamic systems. We propose the cell-state transition method which utilizes Hsu's cell-to-cell mapping concept [1]. As a result, a generic and implementable design methodology for obtaining a fuzzy feedback gain K, a fuzzy hypercube [2], is provided and illustrated with simple examples.

• 복식
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• 제54권8호
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• pp.129-146
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• 2004

The Purpose of this study is to search the characteristics of aesthetic sense from the spiritual root of anti-decoration culture in contemporary Japanese fashion and find the aesthetic meanings inside contemporary Japanese fashion. This study considered contemporary Japanese fashion design from 1970 to 2000 to figure out the anti-decoration culture in contemporary Japanese fashion. The contents of this study are 1. surveying the historical change about the aesthetic sense of Japanese anti-decoration culture. 2. deducing the distinctive aesthetic ideology from the anti-decoration culture 3. finding aesthetically the inside meaning of anti-decoration culture in contemporary Japanese fashion. The conclusion on this study is as the followings. Anti-decoration culture has three aesthetic ideology. First, faintful aesthetics implies the aesthetic ideologies of Wabi, Sabi from Heian period and it appears the aesthetic sense to be natural beauty. simplicity, minimalism and temperance. Second, ambivalence aesthetics is based on nothingness and has the characteristic of multivocal and variableness without biased view. Third. playful aesthetics has the meaning of humorous. witty and mischievous which is the basic factor of Japanese formative arts. The aesthetic range of this study are the beauty of simplicity. poverty, incompletion, vagueness and humor. First, beauty of simplicity is composed of minimal lines and area through strict temperance and elimination. Second, beauty of poverty came from the aesthetic concept of Wabi which means honorable poverty and plainness. Third, beauty of incompletion means emptiness which is within the range of possibility. Forth, beauty of vagueness could be explained as incorporeal, colorlessness and voiceless. Fifth, Okashi which was the middle ages in Japan, shows the vein of humor in anti-decoration culture. As a result, anti-decoration culture does not mean the opposite of decoration culture, but accomplishes extreme artificial beauty by strict temperance and elimination. Also it is concerned as intentional poverty of decorative effect.

• Architectural research
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• 제12권2호
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• 한국컴퓨터정보학회논문지
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• 제23권8호
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• pp.45-50
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• 2018

Many of the current successful commercial recommender systems utilize collaborative filtering techniques. This technique recommends products to the active user based on product preference history of the neighbor users. Those users with similar preferences to the active user are typically named his/her neighbors. Hence, finding neighbors is critical to performance of the system. Although much effort for developing similarity measures has been devoted in the literature, there leaves a lot to be improved, especially in the aspect of handling subjectivity or vagueness in user preference ratings. This paper addresses this problem and presents a novel similarity measure using fuzzy logic for selecting neighbors. Experimental studies are conducted to reveal that the proposed measure achieved significant performance improvement.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 춘계학술대회 및 임시총회
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• pp.119-122
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• 2002

The research Interest of this paper is focused on the efficient clustering task for an arbitrary color data. In order to tackle this problem, we have tiled to model the inherent uncertainty and vagueness of color data using fuzzy color model. By laking a fuzzy approach to color modeling, we could make a soft decision for the vague regions between neighboring colors. The proposed fuzzy color model defined a three dimensional fuzzy color ball and color membership computation method with the two inter-color distance measures. With the fuzzy color model, we developed a new fuzzy clustering algorithm for an efficient partition of color data. Each fuzzy cluster set has a cluster prototype which is represented by fuzzy color centroid.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제15권3호
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• pp.229-250
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• 2011

The Mathematics Teaching Efficacy Beliefs Instrument is one of the most popular instruments used to measure elementary preservice teachers' efficacy beliefs in mathematics teaching. The instrument was, however, developed in the United States and is perhaps not appropriate for other cultures. In this study, the instrument was translated into Korean and carefully reviewed by Korean mathematics teacher education professors. Analysis of the review indicated that eight out of the 21 items were appropriate while the others needed to be revised. Items were identified as inappropriate due to awkwardness, multiple meanings, tense disagreements, and vagueness. These items were modified to better fit the Korean context. The instrument was revised with two versions: one for elementary and the other for secondary pre service teachers.

• Communications for Statistical Applications and Methods
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• 제19권1호
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• pp.177-182
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• 2012

A structural break in the level as well as in the innovation variance has often been exhibited in economic time series. In this paper we propose robust unit root tests based on a sign-type test statistic when a time series has a shift in its level and the corresponding volatility. The proposed tests are robust to a wide class of partially stationary processes with heavy-tailed errors, and have an exact binomial null distribution. Our tests are not affected by the size or location of the break. We set the structural break under the null and the alternative hypotheses to relieve a possible vagueness in interpreting test results in empirical work. The null hypothesis implies a unit root process with level shifts and the alternative connotes a stationary process with level shifts. The Monte Carlo simulation shows that our tests have stable size than the OLSE based tests.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.279-282
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• 2001

This paper presents an image contrast enhancement technique for improving the low contrast images using the improved IAFC(Integrated Adaptive Fuzzy Clustering) Model. The low pictorial information of a low contrast image is due to the vagueness or fuzziness of the multivalued levels of brightness rather than randomness. Fuzzy image processing has three main stages, namely, image fuzzification, modification of membership values, and image defuzzification. Using a new model of automatic crossover point selection, optimal crossover point is selected automatically. The problem of crossover point selection can be considered as the two-category classification problem. The improved MEC can classify the image into two classes with unsupervised teaming rule. The proposed method is applied to some experimental images with 256 gray levels and the results are compared with those of the histogram equalization technique. We utilized the index of fuzziness as a measure of image quality. The results show that the proposed method is better than the histogram equalization technique.