• Journal of the Korean Statistical Society
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• 제11권1호
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• pp.25-35
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• 1982

A problem of selecting the least probable cell in a multinomial distribution is studied in a Bayesian framework. We consider two loss components the cost of sampling and the difference in cell probabilities between the selected and the least probable cells. A Bayes sequential selection rule is derived with respect to a Dirichlet prior, and it is compared with the best fixed sample size selection rule. The continuation sets with respect to the vague prior are tabulated for certain cases.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.366-370
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• 2005

The construction environment is dynamic in nature and is characterized by various degrees of uncertainties. The uncertainties such as lack of coordination, non availability of resources, condition of temporary structures and varying weather conditions have a significant impact on estimating the duration of activities. These are subjective, vague and imprecisely defined and are expressed in subjective measures rather than mathematical terms. Conventionally, various quantitative techniques such as CPM and PERT have emerged in construction industry. These techniques cannot solve the above problems and rely on human experts which may not always be possible. In such situations Artificial Intelligence tools such as fuzzy sets and neural networks handle such variables and provide global strategies. The present paper evaluates the effect of qualitative factors to identify the activity duration using new intelligent approach. The results are compared with conventional methods for effective project management. A case study is considered to demonstrate the applicability of fuzzy logic for project scheduling.

• 지능정보연구
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• 제10권2호
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• pp.91-109
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• 2004

최근 채권의 상환 및 이자의 확실성 정도를 측정하고 연관된 상대적인 위험의 정도를 나타내는 채권등급 평가의 중요성이 대두되고 있다. 초기의 대다수 선행 연구들에서는 기업의 채권 등급예측을 위하여 통계적 기법이 많이 사용되었으나, 많은 연구들에 의해 그 우수성이 보고되고 있는 사례기반 추론 등 인공지능 기법들이 통계모형의 대안으로 제시되어지고 있다. 사례기반 추론에서는 과거의 사례들이 지식으로 표현되고 해결 방법으로 사용된다. 유용한 사례기반 시스템을 구축하기 위해서 시스템의 지식베이스를 구축할 사례들을 인간의 정보처리 과정과 유사한 방법으로 표현하는 것이 중요하다. 본 논문은 실제 세계의 애매모호한 사례들을 다루는데 적절한 퍼지집합개념을 사례기반 추론과 결합하는 통합 방법론을 제시하고자 한다. 퍼지집합이론은 인간이 의사결정시 사용하는 유사한 자연스러운 언어를 수학적으로 변환할 수 있게 해주는 인공지능 기법이다.

• 인터넷정보학회논문지
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• 제8권3호
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• pp.99-107
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• 2007

일반적으로 퍼지시스템의 신뢰도는 0과 1사이의 실수, 퍼지숫자, 신용구간, 구간값 퍼지집합,모호집합 등으로 표현하고 분석한다. 본 논문은 시스템에서 가중 구성요소의 중요도를 반영하는 가중값을 갖는 가중 구성요소를 위한 퍼지시스템의 신뢰도를 분석하는 방법을 설명한다. 퍼지시스템에서 가중 구성요소들의 신뢰도와 가중간은 삼각 퍼지숫자로 표현한다. 제안한 방법은 삼각 퍼지숫자의 퍼지산술연산을 사용하고 가중 구성요소의 가중값을 고려한다. 그러므로 기존의 방법들 보다 실행속도가 더 빠르고 그리고 더 유연한 실행이 가능하다.

• 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.

• 산업경영시스템학회지
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• 제39권2호
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• pp.138-149
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• 2016

Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by translating customer requirements (CRs) into technical attributes (TAs), and subsequently into parts characteristics, process plans, and manufacturing operations. A main activity in QFD planning process is the determination of the target levels of TAs of a product so as to achieve a high level of customer satisfaction using the data or information included in the houses of quality (HoQ). Gathering the information or data for a HoQ may involve various inputs in the form of linguistic data which are inherently vague, or human perception, judgement and evaluation for the information and data. This research focuses on how to deal with this kind of impreciseness in QFD optimization. In this paper, it is assumed as more realistic situation that the values of TAs are taken as discrete, which means each TA has a few alternatives, as well as the customer satisfaction level acquired by each alternative of TAs and related cost are determined based on subjective or imprecise information and/or data. To handle these imprecise information and/or data, an approach using some basic definitions of fuzzy sets and the signed distance method for ranking fuzzy numbers is proposed. An example of a washing machine under two-segment market is provided for illustrating the proposed approach, and in this example, the difference between the optimal solution from the fuzzy model and that from the crisp model is compared as well as the advantage of using the fuzzy model is drawn.

• 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.

• 의료법학
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• 제14권1호
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• pp.209-236
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• 2013

The concept of expectation rights considers 'the expectation' that the patient should be given proper medical treatment as the benefit and protection of the law, so it would be the benefit and protection of the law due to personal rights different from 'the legal principle that has the possibility to a considerable extent' being in an extension of life and body. However, the problem how the patient's expectation of medical service sets up in order to make it the benefit and protection of the law would be still left in the vague concept of the patient's 'expectation', thus, in the first place, the medical practice following formed medical standard in every particular medical institutes should be the standard because these medical services are normally within a range of the patients' expectations. In addition, it should be naturally constituted as mental profit to get the subjective circumstances such as 'the patient's expectation' to be an object, and also, different from the profit and protection of the law such as life and body that should be absolutely protected, the origin of violation behavior should be regarded simultaneously to define the denotation of expectation rights. Therefore, the expectation rights violations would be problematic in case it fails to reach the medical standard that is expected for common doctors to practice properly. This is the concept of expectation rights that gets subjective matters such as the patient's expectation to be objectivity as medical practices that can be expected by generalized abstract doctors. This standard should be defined as the minimum standard that is naturally expected for doctors to practice, different from medical standard that decides the level of doctors.

• 한국수자원학회논문집
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• 제34권4호
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• pp.357-364
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• 2001

실험 또는 계측에 의해 관측된 관측치들은 종종 어떤 기준치 이하의 작은 값들이 기록되는데, 이들 기준치 이하의 값들이 크기는 미소할지라도 평균이나 분산 추정시 왜곡된 결과를 줄 수 있다. 그러나 우리 나라에서는 관측오차로 간주하여 N.D.(Not Detected)로 처리하는 것을 관례로 하고 있어 미소치들이 기록되지 않고 있다. EK라서 본 연구에서는 부여 취수장의 암모니아성 질소(NH$_3$-N)자료가 크기에 따라 분표형이 다름을 조사하고 그 분포를 구별할 수 있는 기준치와 기준치 이하의 자료들에 대한 평균과 분산 추정시 가장 적절한 기법을 찾고자 하였다. 즉, 기준치 이하의 값들과 이상의 값들을 구분하여 평균과 분산을 위한 적절한 기법을 선정하여 추정하였다. 분석 결과 부여취사장의 자료는 편기 수정된 최우도(Bias Corrected ML)법이 가장 적합한 것으로 결정되었으며, 시행착오법에 의하여 기준치를 설정하였다.

• 한국의류학회지
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• 제40권4호
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• pp.600-614
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• 2016

This study specifies the definition and characteristics of fake fashion by categorizing cases through an analytical framework that uses the concept of simulacre, which is one of the theories that explains the reproduction of images and symbols in a modern consumer society. The presentation stages of modern fake fashion based on Baudrillard's concept of simulacre are as follows: Stage 1 focuses on the realistic imitation of the original, Stage 2 maintains a similarity with the original while transforming through the distortion of shape or visual perception, Stage 3 is the reality of the original which has become significantly vague and actively involves the designer's creativity, and Stage 4 forms a new value and an independent aura beyond reproducing the original. The presentation techniques of modern fake fashion viewed in the concept of simulacre can be classified into optical illusions by reproduction, use of a fake object, use of unusual shapes, and re-signifying through borrowing. As a result of applying the collected cases to the analytical framework, image reproduction in Stage 1 with imitative nature is a counterfeit that cannot be regarded as fake fashion, and fake fashion in Stage 4 (that can be referred to as simulacre) is fashion with symbolic and multiple meanings with new and creative designs. Modern fake fashion analyzed in the concept of simulacre transforms or reproduces the preexisting original with the purpose of merely creating original designs as well as acts as a new symbolic signal that creates a new aura and sets a trend with a message.