• 제목/요약/키워드: vague set

검색결과 57건 처리시간 0.02초

Fuzzy Set을 이용한 피부반응 검사의 자동화 연구 (Automation of Skin Allergy Test using Fuzzy Set)

  • 심철;정병선;이명구;박민용
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1990년도 춘계학술대회
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    • pp.43-46
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    • 1990
  • Modern society is prevailed a lot of allergies. So, the allergy test is very important. There are many kinds of allergy test. A doctor usually uses skin allergy test among many allergy tests. However, little standadization and objectivity of grading-standard has been established in the skin allergy test. A measurement of the reaction area has been a major objective to perform skin allergy test. Recently, a doctor's method is to measure the reaction area after drawing a line that represents the reaction area on the skin. But this method differs slightly from the real reaction area and individual doctor's measurement is different, because the edge of the reaction area is obscure. In this paper, we propose a algorithm which is able to detect vague edges using the fuzzy set. The algorithm that detects the line and curve is proposed first. Here, the maximum value is calculated by comparing the membership function of the line and curve seperately. We also encode the direction of the line and curve by using 8-direction code. Then, we calculate the reaction area by measuring the pixels which are inside the reaction area. And finally the Allergy grade is decided by grading-standard, and we accomplish faster, the 80re accurate and objective allergy grade decision.

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퍼지집합이론 및 뉴로-퍼지기법을 이용한 RMR 값의 추론 (Inference of RMR Value Using Fuzzy Set Theory and Neuro-Fuzzy Techniques)

  • 배규진;조만섭
    • 터널과지하공간
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    • 제11권4호
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    • pp.289-300
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    • 2001
  • 터널의 설계에는 지반조사 자료의 부정확성과 평가의 애매성 그리고 자료수집 과정의 오류(observer error)등이 내재되어 있다. 그러므로 터널의 안정성과 경제적인 시공을 위해서는 시공 중 막장면의 조사가 매우 중요한 역할을 한다. 본 연구는 막장면 조사 시 지반의 고유 특성을 보다 정확하게 평가하고, 조사자의 주관성을 최소화시키기 위하여 수행되었다. 이러한 목적을 위하여 막장관찰 자료로부터 RMR값을 추론하고자 인공지능기법 중 퍼지집합이론과 뉴로-퍼지기법을 적용하였고, 46개의 학습자료에 대해 원래의 RMR값과 퍼지이론 및 뉴로저지기법의 추론에 의한 RM $R_{_FU}$ 및 RM $R_{_NF}$값의 상관성을 분석하였다. 본 연구의 결과는 원래의 RMR값과 퍼지추론에 의한 RM $R_{_FU}$값 및 뉴로-퍼지기법에 의한 RM $R_{_NF}$값의 상관계수가 각각 |R|= 0.96과 |R|=0.95로 상관성이 우수한 것으로 조사되었다. 이 결과로부터 암반평가를 위한 퍼지집합이론 및 뉴로-피지기법의 적용성이 충분함을 검증할 수 있었다.할 수 있었다.

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A Focus Account for Contrastive Reduplication: Prototypicality and Contrastivity

  • Lee, Bin-Na;Lee, Chung-Min
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2007년도 정기학술대회
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    • pp.259-267
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    • 2007
  • This paper sets forth the phenomenon of Contrastive Reduplication (CR) in English relevant to the notion of contrastive focus (CF). CF differs from other reduplicative patterns in that rather than the general intensive function, denotation of a more prototypical and default meaning of a lexical item appears from the reduplicated form resulting as a semantic contrast with the meaning of the non-reduplicated word. Thus, CR is in concordance with CF under the concept of contrastivity. However, much of the previous works on CF associated contrastivity with a manufacture of a set of alternatives taking a semantic approach. We claim that a recent discourse-pragmatic account takes advantage of explaining the vague contrast in informativeness of CR. Zimmermann's (2006) Contrastive Focus Hypothesis characterizes contrastivity in the sense of speaker's assumptions about the hearer's expectation of the focused element. This approach makes possible adaptation to CR and recovers the possible subsets of meaning of a reduplicated form in a more refined way showing contrastivity in informativeness. Additionally, CR in other languages along with similar set-limiting phenomenon in various languages will be introduced in general.

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퍼지컬러 모델을 이용한 컬러 데이터 클러스터링 알고리즘1 (Color Data Clustering Algorithm using Fuzzy Color Model)

  • Kim, Dae-Won;Lee, Kwang H.
    • 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.

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홍수터 관리 최적대안 결정을 위한 공간퍼지접근 (The Spatial Fuzzy Approach to Multi-Criteria Decision Analysis for Flood Management)

  • 임광섭;최시중
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2009년도 학술발표회 초록집
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    • pp.1647-1651
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    • 2009
  • The uncertainty or imprecision associated with vague parameters and weighting sets, reduces the ability to decide what alternative is better for a particular location. To efficiently reduce the effect of imprecision frequently arising in available information, fuzzy theory has been used to improve consideration of imprecision in a Multi-Criteria Decision Analysis (MCDA) problem. Fuzzy logic offers a way to represent and handle imprecision present in continuous real world applications. A GIS implementing fuzzy set theory, (referred to in this paper as the "Spatial Fuzzy Approach") enables decision makers to express imprecise concepts associated with geographic data and provides decision makers the ability to have even more definition and discrimination in terms of the best alternatives for a particular spatial location. This study is focused on addressing questions pertaining to the methodology of floodplain analysis using GIS and Spatial Fuzzy MCDA to evaluate flood damage reduction alternatives. The issues will be examined in a case study of the Suyoung River Basin in Pusan, Korea.

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연구.개발을 위한 전략적 제휴와 경쟁정책

  • 차성민
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 2002년도 제21회 하계학술발표회 논문집
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    • pp.225-237
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    • 2002
  • The term "Strategic Alliance" which is not exactly defined in legal sector can apply to a wide variety of collaborative activities between firms, In spite of the vague conception Strategic Alliance, it has many benefit in the market. Especially, cooperation in R&D may reduce duplicative and unnecessary costs, lead to significant exchange of ideas and experience and thus result in products and technologies being developed more rapidly than would otherwise be the case. As a general rule, R&D cooperation tends to increase overall R&D activities. However, R&D agreements may cause competition problems such as restrictives effects on prices, output, innovation and variety or quality of products, To prevent its problems, competition authorities set out guidelines. The antitrust analysis of strategic alliances including R&D cooperation will vary according the substance of the actual agreement.

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카림 라시드의 작품에 나타난 블렌딩 색채에 관한 연구 (A Study on the Blending Color in Karim Rashid's Works)

  • 김선영
    • 한국실내디자인학회논문집
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    • 제20권4호
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    • pp.155-162
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    • 2011
  • In order to pursue the traces of truth, boundaries set by man for convenience were crossed or Integrated leading to the discovery of new paradigms. Such phenomena including collaboration, convergence, crossover and etc. are expressed in various forms across the society and culture. In particular, development of digital technology is moving away from its previous color based on scientific, statistical and quantitative perspective by using diverse variables. Also, as the borderlines of genres become increasingly more ambiguous, various concepts of color blending developed rapidly. Thus These chaosmos-like color blending have created new contents. This research aims to understand the principle of color blending in Karim Rashid's work, which advocates the world of design in diverse fields from industrial products to architecture. The principle of color blending such as information change, source color and destination color, interaction, and etc. makes it possible to extract the expressed element and method of color blending. Meanwhile, the features of color blending such as integrated space and time, vague form, and narrative genre can be inferred from case analysis.

ASSESSING POPULATION BIOEQUIVALENCE IN A $2{\times}2$ CROSSOVER DESIGN WITH CARRYOVER EFFECT IN A BAYESIAN PERSPECTIVE

  • Oh Hyun-Sook
    • Journal of the Korean Statistical Society
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    • 제35권3호
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    • pp.239-250
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    • 2006
  • A $2{\times}2$ crossover design including carryover effect is considered for assessment of population bioequivalence of two drug formulations in a Bayesian framework. In classical analysis, it is complex to deal with the carryover effect since the estimate of the drug effect is biased in the presence of a carryover effect. The proposed method in this article uses uninformative priors and vague proper priors for objectiveness of priors and the posterior probability distribution of the parameters of interest is derived with given priors. The posterior probabilities of the hypotheses for assessing population bioequivalence are evaluated based on a Markov chain Monte Carlo simulation method. An example with real data set is given for illustration.

최우도 모형을 이용한 수위-유량곡선식 개발 (Development of Rating Curves Using a Maximum Likelihood Model)

  • 김경훈;박준일;신찬기
    • 환경위생공학
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    • 제23권4호
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    • pp.83-93
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    • 2008
  • The non-linear least squares model(NLSM) has long been the standard technique used by hydrologists for constructing rating curves. The reasons for its adaptation are vague, and its appropriateness as a method of describing discharge measurement uncertainty has not been well investigated. It is shown in this paper that the classical method of NLSM can model only a very limited class of variance heterogeneity. Furthermore, this lack of flexibility often leads to unaccounted heteroscedasticity, resulting in dubious values for the rating curve parameters and estimated discharge. By introducing a heteroscedastic maximum likelihood model(HMLM), the variance heterogeneity is treated more generally. The maximum likelihood model stabilises the variance better than the NLSM approach, and thus is a more robust and appropriate way to fit a rating curve to a set of discharge measurements.

퍼지집합이론을 이용한 야간 도로 시인성 평가 (An Analysis of Driver Perception of Nighttime Visibility Using Fuzzy Set Theory)

  • 이동민;윤천주;김영범
    • 한국도로학회논문집
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    • 제17권5호
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    • pp.57-66
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    • 2015
  • PURPOSES: Nighttime driving is very different from daytime driving because drivers must obtain nighttime sight-distances based on road lights and headlights. Unfortunately, nighttime driving conditions in Korea are far from ideal due to poor lighting and an insufficient number of road lights and inadequate operation and maintenance of delineators. This study is conducted to develop new standards for nighttime road visibility based on experiments of driver perception for nighttime visibility conditions. METHODS : In the study, perception level and satisfaction of nighttime visibility were investigated. A total of 60 drivers participated, including 34 older drivers and 31 young drivers. To evaluate driver perceptions of nighttime road visibility, fuzzy set theory was used because the conventional analysis methods for driver perception are limited in effectiveness for considering the characteristics of perception which are subjective and vague, and are generally expressed in terms of linguistic terminologies rather than numerical parameters. RESULTS : This study found that levels of nighttime visibility, as perceived by drivers, are remarkably similar to their satisfactions in different nighttime driving conditions with a log-function relationship. Older drivers evaluated unambiguously degree of nighttime visibility but evaluations by young drivers regarding it were unclear. CONCLUSIONS : A minimum value of brightness on roads was established as YUX 30, based on final analyzed results. In other words, road lights should be installed and operated to obtain more than YUX 30 brightness for the safety and comfort of nighttime driving.