• 제목/요약/키워드: Expert Opinion

검색결과 239건 처리시간 0.03초

Evaluating Service System Alternatives via a Computer Simulation-enabled MCDM Framework

  • Deng, Wei-Jaw;Pei, Wen;Tsai, Chih-Hung
    • International Journal of Quality Innovation
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    • 제8권2호
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    • pp.100-114
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    • 2007
  • Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation-enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision-making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

우리나라 주택용도분류체계 개선 방향 연구 (A Study on the Improvement Direction of Housing Use Classification in Korea)

  • 황은경;이성옥;김수암
    • 건축역사연구
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    • 제22권1호
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    • pp.7-14
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    • 2013
  • Because of the demographic and economic changes and the lifestyle diversification, the new housing types such as the Quasi-housing and urban small-size multi-unit housing are appeared in korea. The current housing use classifications are regulated in accordance with the housing divided ownership, horizontal and vertical size of housing, and the number of units. However, there is a limit to accommodate the new housing type. Therefore, this study proposed the direction of improvement of the housing use classifications through comparative analysis of foreign housing use classifications. Also, building regulations are applied according to the building use classifications. Therefore, the new housing types in building act are very urgent and important. So this study is derived the problems of the current housing use classifications and is proposed the improvement direction of it through the expert opinion survey.

전문가 설문에 의한 AHP 가중치 산출의 적용한계에 관한 연구 (A Study on application limitation of AHP priority vector with Expert measurement)

  • 김웅이;김도현;최연철
    • 한국항공운항학회지
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    • 제18권3호
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    • pp.92-98
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    • 2010
  • The AHP methodology compares criteria, or alternatives with respect to a criterion, in a natural, pairwise mode. AHP has been applied in a wide variety of applications multi objective decision making being just one. If a group of expert with different aspect, they need some way to revise expert group. We proposed the concatenation of expert to survey the AHP pairwise question for multi-attribute decision making. In this paper, we suggest a way to revise the expert's priorities in hierarch using concept of different group opinion.

국내 G3 팩시밀리 화상품질에 관한 통계 분석 (Statistical Analysis on the Measurement of the Image Quality of G3 facsimile)

  • 이성덕;권세혁
    • 품질경영학회지
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    • 제23권2호
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    • pp.1-9
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    • 1995
  • Two user groups, expert and non-expert, are sampled to measure the image quality of G3 facsimile. A ITU-TS tset chart No. 2 has been transmitted among some selected cities and evaluated by user groups. Their subjective evaluation to the image quality is quantified by Mean Opinion Score method. There is highly significant difference in the image quality between expert and non-expert. From modified logit model, it is concluded that there is no significance in two considered factors, the effects of the number of links and transmission time. The derived percent curves show that 80% of non-experts(90% of expert) is considering the image quality of G3 facsimile "fair, good, or excellent".

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텍스트마이닝을 이용한 약물유해반응 보고자료 분석 (Analysis of Adverse Drug Reaction Reports using Text Mining)

  • 김현희;유기연
    • 한국임상약학회지
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    • 제27권4호
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    • pp.221-227
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    • 2017
  • Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential. Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extracting meaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions (ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on text analysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text of KAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the whole text, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis are performed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Among total 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache, vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움, dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion: Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining in ADRs research is able to play an important role in detecting signal information and prediction of ADRs.

퍼지이론을 이용한 전문가 의견 도출법과 FMECA 전문가시스템 (Expert Opinion Elicitation and Expert System for FMECA using Fuzzy Theory)

  • 김동진;변융태;김형철;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.261-262
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    • 2008
  • Failure Mode Effects and Criticality Analysis (FMECA) evaluates criticality and severity of each failure mode. Generally, those indices are determined subjectively by experts and operators. However, this process has no choice but to include uncertainty. In this paper, a method for eliciting expert opinions considering its uncertainty is proposed to evaluate the criticality and severity. In addition, a fuzzy expert system is constructed to determine the crisp value of risk level for each failure mode. The results are worth considering while deciding the proper policies for each component of the system.

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전문가 의견을 반영하는 향상된 의사결정나무의 엔트로피 기법 (Decision Tree Algorithm with Improved Entropy Using an Expert Opinion)

  • 박선빈;김동문;윤태복;이지형
    • 한국지능시스템학회:학술대회논문집
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    • 한국지능시스템학회 2007년도 추계학술대회 학술발표 논문집
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    • pp.239-242
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    • 2007
  • 최근 데이터의 양이 많아지고 다양해짐에 따라서 데이터를 활용하기 위한 데이터 마이닝에 관한 관심이 중대되고 있다. 데이터 분석을 위한 수집 데이터에는 수집 과정에서 분석가가 원치 않은 데이터 잡음이 발생하는 경우가 있고 그 데이터가 다른 데이터들과 같은 가중치로 데이터 마이닝에 반영되는 경우 예상과 다른 결과를 얻을 수 있다. 따라서 데이터 분석 시 데이터와 전문가 의견이 고려된 데이터 엔트로피(Entropy)를 사용하여 잡음 데이터를 다를 필요가 있다. 본 논문에서는 전문가의견을 이용한 전문가 의견 목록을 만들고 이를 데이터와 비교하여 유사한 정도에 따라 각 데이터에 가중치를 부여한다. 그리고 이 데이터를 활용한 의사결정나무(Decision Tree)를 사용하여 기존 데이터를 이용한 의사결정나무 보다 데이터 잡음의 영향을 줄이는 방법을 제안한다. 제안한 방법은 학습자의 학습 활동에서 수집된 학습 행위 데이터를 사용하여 실험하였다.

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IMT-2000 서비스의 수요예측 (A Study on the Demand Forecasting for IMT-2000 Services)

  • 임수덕;조중재;황진수;조용환
    • 한국통신학회논문지
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    • 제24권12A호
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    • pp.2025-2033
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    • 1999
  • 본 연구에서는 IMT-2000 서비스의 상용화 실시 시기를 전문가 의견을 바탕으로 하여 예측한 결과 2001년 2월경에 첫 서비스를 실시할 것으로 나타나 전문가들은 대체로 빠른 진척을 예상하고 있음을 알 수 있었다. 또한 본 연구의 가장 중요한 부분인 IMT-2000 서비스 가입 수요예측에서는 가격 경쟁력에 대한 두 가지 경우에 따라 다른 모형을 제시하였다. 본 연구에서는 신제품에 대한 수요예측에 정성적 방법인 전문가 의견법과 정량적 방법인 성장곡선 모형을 결합하여 과거자료가 없는 신제품의 수요예측의 오차를 줄이고자 하였다. 각 성장곡선 모형에 필요한 계수를 전문가들의 주관적인 의견을 근거로 하여 추정하였다.

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전문가의견을 활용한 주거건물 손상함수 개발 (A Study on Vulnerability Function of Residential Building Using Expert Opinion)

  • 김길호;최천규;홍승진;김경탁
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.339-339
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    • 2017
  • 손상함수란 건물, 차량, 농작물 등과 같은 피해대상물에 재난강도에 따른 취약도(vulnerability)를 정량화한 함수로, 재난리스크 모델에서 널리 사용되는 개념이다. 홍수재난에서 손상함수는 일반적으로 피해지역에서 조사된 경험적 피해자료(empirical data)를 활용하거나, 표준화된 피해대상물에 대한 손상성을 전문가의 의견(expert opinion)을 참고하여 개발된다. 이때, 취약도를 설명하는 설명변수는 일반적으로 침수심(inundation depth)이 사용되며, 그에 따른 취약도는 손상률(percent damage)로서 상대함수 형태가 일반적이다. 본 연구는 주거건물(residential building)에 대한 손상함수 개발을 위해 자연재난 손해사정 경력자(8인)를 대상으로 표준화된 주거건물(단독주택, 아파트, 연립/다세대주택)에 대해 침수에 따른 건물 손상성을 조사하였다. 주거건물 손상성을 설명하는 최대범위는 건물내부 바닥고를 기준으로 침수심 3m까지이며, 침수심 변화에 따른 손상성을 건물신축 공종에 따라 질의하고 이를 종합하였다. 조사과정은 (1) 표준건물에 대한 정의, (2) 공종별 침수에 따른 손상여부 질의, (3) 공종별 최대 손상률 평가 및 주요 피해내역 토의, (4) 공종별 침수심에 따른 손상률 평가, (5) 결과종합의 단계로 진행되었고, 이를 통해 주거건물 유형에 따른 손상함수를 개발할 수 있었다. 본 연구에서 개발된 손상함수는 다양한 침수높이에서 주거건물에 대한 취약도를 설명하는 데 장점이 있으나, 그 결과는 향후 홍수피해지역을 대상으로 수집된 다양한 피해조사 결과와 비교하여 보완될 필요가 있다.

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농촌경관에 있어서 한옥의 가치에 관한 연구 -전문가 의견분석을 중심으로- (Study on the Importance of Rural Hanok and Rural Landscaping - Focused on Experts Opinion Analysis-)

  • 신재선;남해경
    • 한국농촌건축학회논문집
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    • 제21권3호
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    • pp.1-8
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    • 2019
  • This study uses expert analysis as a method of research to identify the value of hanok in rural landscapes. To do so, the study conducted the Delphi method and the AHP survey twice. First, the Delphi method was used on experts who have either studied rural landscape, regional development, hanok or have adequate knowledge in such areas, concerning the definiton of sustainable rural landscapes, the role of hanok in rural landscapes, the problems rural hanoks face, and the preservation and utilzation of rural hanok. Based on this, the AHP survey was conducted. The survey results showed that sustainable rural landscapes are 'landscapes in which the transformation proces coexists from traditonal to modern times.' The role of the rural hanok was shown to be 'the forming of landscapes that expres the historical flow of the vilage.' In the subsequent survey of rural landscapes, the order of import limitationance of hanok was regionality, historicity, harmoniousnes, eco-friendlines and familarity. However, a may be that this study is based on expert opinion which may not be regarded as universal. Therefore, future research on the basis of this study wil have to be conducted in a way to identify the value of hanok in rural landscapes from the perspective of various groups.