• 제목/요약/키워드: Multiple Decision-Making

검색결과 665건 처리시간 0.027초

시설보호청소년의 사회적 지지와 진로결정수준과의 관계에 대한 자아존중감의 조절효과 검증 (The Moderating Effects of Self-Esteem on the Link between Social Support and Career Decision-Making Level of Youth in Residential Care)

  • 방은미;장신재
    • 대한가정학회지
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    • 제47권4호
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    • pp.111-119
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    • 2009
  • The purpose of this study was to examine the moderating effect of self esteem on the link between social support(e.g. from family, friends and significant others) and career decision-making level of youth in residential care. Data for this study were collected from 14 nationwide institutions between June 10th to June 20th, 2008. Selfreporting surveys were employed to gather information from 412 sources within these institutions. Collected data were analyzed by SPSS program(12.0). The results were as follows: Stepwise multiple regression showed that self-esteem could be used to predict career decision-making level($\beta$ = -.262, p < .001). Furthermore, self-esteem had a moderating effect on the relationship between social support and career decision-making level($\beta$ = -.749, p < .001). Specifically, self-esteem and the scale of social support from family, friedns or significant others had a moderating effect on career decision-making level($\beta$ = - .118, p < .001). The implication of these findings on career decision-making intervention of youth in residential care and future research priorities are discussed.

Big Accounting Data and Sustainable Business Growth: Evidence from Listed Firms in Thailand

  • PHORNLAPHATRACHAKORN, Kornchai;JANNOPAT, Saithip
    • The Journal of Asian Finance, Economics and Business
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    • 제8권12호
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    • pp.377-389
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    • 2021
  • This study aims at investigating the effects of big accounting data on the sustainable business growth of listed firms in Thailand. In addition, it examines the mediating effects of accounting information quality and decision-making effectiveness and the moderating effects of digital innovation on the research relationships. The study's useful samples are the 289 listed Thai companies. To examine the research relationships, the structural equation model and multiple regression analysis are used in this study. According to the results of this study, big accounting data has a significant effect on accounting information quality, decision-making effectiveness, and sustainable business growth. Next, accounting information quality significantly affects decision-making effectiveness and sustainable business growth. Similarly, decision-making effectiveness significantly affects sustainable business growth. Both accounting information quality and decision-making effectiveness mediate the big accounting data-sustainable business growth relationships. Lastly, digital innovation moderates the effects of accounting information quality and decision-making effectiveness on sustainable business growth. Accordingly, In conclusion, big accounting data has emerged as a key source of sustainable competitive advantage. As a result, to succeed in competitive environments, businesses must have a thorough understanding of big accounting data.

면역알고리즘 기반의 MECs (에너지 허브) 시스템 (An Immune Algorithm based Multiple Energy Carriers System)

  • 손병락;강유경;이현
    • 한국태양에너지학회 논문집
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    • 제34권4호
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    • pp.23-29
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    • 2014
  • Recently, in power system studies, Multiple Energy Carriers (MECs) such as Energy Hub has been broadly utilized in power system planners and operators. Particularly, Energy Hub performs one of the most important role as the intermediate in implementing the MECs. However, it still needs to be put under examination in both modeling and operating concerns. For instance, a probabilistic optimization model is treated by a robust global optimization technique such as multi-agent genetic algorithm (MAGA) which can support the online economic dispatch of MECs. MAGA also reduces the inevitable uncertainty caused by the integration of selected input energy carriers. However, MAGA only considers current state of the integration of selected input energy carriers in conjunctive with the condition of smart grid environments for decision making in Energy Hub. Thus, in this paper, we propose an immune algorithm based Multiple Energy Carriers System which can adopt the learning process in order to make a self decision making in Energy Hub. In particular, the proposed immune algorithm considers the previous state, the current state, and the future state of the selected input energy carriers in order to predict the next decision making of Energy Hub based on the probabilistic optimization model. The below figure shows the proposed immune algorithm based Multiple Energy Carriers System. Finally, we will compare the online economic dispatch of MECs of two algorithms such as MAGA and immune algorithm based MECs by using Real Time Digital Simulator (RTDS).

엔트로피 척도를 이용한 MADM 문제의 선호대안 선정 (Selecting on the Preferred Alternatives of the MADM Problems using the Entropy Measure)

  • 이강인
    • 산업경영시스템학회지
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    • 제26권2호
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    • pp.55-61
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    • 2003
  • The purpose of this paper is to propose a method for selecting the preferred alternatives of Multiple- Attribute Decision-Making(MADM) problem using the Entropy measure. A decision-maker who wants to estimate exactly the weight to be applied to her/his MADM problem is usually confronted with the embarrassing situation where, although there exist a variety of weighting methods, it is hard to find a right procedure to choose a pertinent value To remedy this uncomfortable situation, the Entropy measure commonly used in information theory, Is proposed as a tool that can be used by decision-makers to more efficiently select the preferred alternatives. As a result, the method proposed in the paper can be significant in that relatively easy to understand by decision-makers.

An Interactive Methodology for the Web-based GDSS

  • Kim, Jae-Kyeong;Cho, Yoon-Ho
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
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    • pp.375-383
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    • 2000
  • This research suggests an interactive methodology fur multiple objective linear programming problems to help the group select a compromising solution in the World Wide Web environment. Our methodology lessens the burden of group decision makers, which is one of necessary conditions of the web environment. Only the partial weak order of variables and objectives from the group decision makers are enough for searching the best compromising solution. For such a purpose, we expand the Dror and Gass algorithm to the group decision context. And we suggest the system architecture of a web-based GDSS fur the implementation of our methodology.

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간호학생의 임상수행능력과 임상의사결정: 다중요소 실습기반교육의 효과 (Nursing Students' Clinical Competence and Decision-Making: Impact of a Multiple-components Practice-based Learning)

  • 고현기;이윤정;박문경
    • 산업융합연구
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    • 제22권3호
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    • pp.79-89
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    • 2024
  • 본 연구는 단일그룹 사전-사후 실험설계를 통해 다중요소 실습기반교육의 간호학생의 임상수행능력과 임상의사결정에 대한 효과를 탐색하는 것을 목적으로 하였다. 2020년 5월 4일부터 29일까지 임상실습 경험이 없는 간호학과 3학년 학생 총 60명이 2팀으로 나누어 2주씩 다중요소 실습기반교육에 참여했고, 최종 51명의 자료가 분석에 포함되었다. 연구결과 임상수행능력, 임상의사결정 자신감은 실습교육전에 비해 유의미하게 상승하였고, 임상의사결정에 대한 불안은 유의미하게 감소하였다. 간호학생을 위한 다중요소를 포함한 실습교육은 환자 간호를 위한 수행 자신감을 향상시키고, 임상적 의사결정에 대한 자신감을 증가와 불안 완화의 교육방법으로 적용될 수 있다.

The Methods of Value Management to Support Decision-Making of Urban Regeneration Projects

  • Kang, Hyun-Koo;Yu, Jung-Ho;Kim, Chang-Duk;Son, Bo-Sik
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1503-1508
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    • 2009
  • The paradigm of urban generation does not lie in physical development/maintenance such as urban redevelopment any more. The paradigm is shifting to balanced activation of administration / management functions including central commerce/business functions, broad culture/tourism functions, international functions and adequate level of residence functions. The urban regeneration project aims to restore functions of cities by physical/environmental, living/cultural and industrial/economical regeneration and is managed differently from existing projects in that it includes multiple sub-projects in it. The overall projects management should be by managing the value sought by the urban regeneration project and multiple other sub-projects. The objective of this study is to present various methods of value management in order to avoid conflicts between various objectives within the said project. It aims to provide the value management methods for decision making by understanding correlatedness between values of various projects and prioritizing them.

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교차종속관계하에서의 효율적인 퍼지 다기준의사결정법 (An Effective Fuzzy Multi-Criteria Decision Making Methodology in the Intersectional Dependence Relations)

  • 심재홍;김정자
    • 산업경영시스템학회지
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    • 제21권45호
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    • pp.11-23
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    • 1998
  • This paper presents a more efficient evaluation of alternatives by use of multi-criteria decision making methodlogy under fuzzy intersectional dependence relations. The performance evaluation of most systems such as weapons, enterprise systems etc. are multiple criteria decision making problems. The descriptions and judgements on these systems are usually linguistic and fuzzy. The traditional methods of Analytic Hierarchy Process(AHP) are mainly used in crisp(non-fuzzy) decision applications with a very unbalanced scale of judgements and rank reversal. To overcome these problems, we will propose a new, general decision making method for evaluation models using fuzzy AHP(FAHP) under fuzzy intersectional dependence relations. The T.M.S alternatives A, B and C will be evaluted by the Fuzzy Analytic Hierachy Process (FAHP) based on entropy weight in this study. We will use symmetric triangular fuzzy numbers to indicate the relative strength of the elements in the hierachy and degree of intersection between criteria. These problems are evaluated by five criteria : tactical criteria, technology criteria, maintenance criteria, economy criteria, advacement criteria.

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의사결정지원시스템에서의 다단계 모형 통합에 대한 연구

  • 권오병
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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    • pp.101-104
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    • 1997
  • Providing information on corporate level decision making for multiple decision makers in a consistent way is essential in Decision Support Systems. However, since the decision makers have different background and knowledge, the models used by them are also different in representation models. This makes the decision makers require a lot of efforts for model integration in an integrated decision making. The purpose of this paper is to propose an integration mechanism for synthetic use of multi-abstraction level decision making models. The proposed integration mechanism consists of model interpretation phase, model transformation phase and model integration phase. Specifically, the model transformation phase is divided into model tightening mode which gather information to makes a model transformed into upper level model, and model relaxing mode which makes lower level model.

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만성질환자의 의사결정에 대한 자율성 선호도에 관한 연구 (A Study of Autonomy Preference on Decision-making among Patients with Chronic Disease)

  • 안보미;이지애
    • 한국콘텐츠학회논문지
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    • 제21권2호
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    • pp.236-247
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    • 2021
  • 본 연구의 목적은 만성질환자의 건강 관련 의사결정에 대한 자율성 선호도에 영향을 미치는 요인을 확인하기 위함이다. 대상자는 일개 보건소에 등록된 만성질환자 522명이다. 수집된 자료는 SPSS Win 26.0 ver. 프로그램을 이용하여 기술통계, t-test, ANOVA, Scheffe-test, Pearson's correlation coefficients, multiple linear regression으로 분석하였다. 연구결과, 만성질환자의 일반적 의사결정 선호도의 영향요인은 건강에 대한 관심정도(β=-.17, p<.001)이었으며. 정보추구 선호도의 영향요인은 성별(β=-.20, p<.001)과 진료 시 질문하는 횟수(β=.09, p=.030)이었다. 본 연구는 만성질환자들이 본인의 치료 과정에서 주도적으로 역할을 할 수 있도록 환자의 특성을 고려해야 하며, 환자의 주도적이고 효율적인 의사결정을 돕기 위하여 의료인의 효과적인 의사소통 전략 수립이 필요함을 시사한다.