• 교육시설 논문지
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• 제25권6호
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• pp.35-44
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• 2018

The purpose of this study is to predict more accurate construction costs and to support efficient decision making in the planning and design stages of smart education facilities. The higher the error in the projected cost, the more risk a project manager takes. If the manager can predict a more accurate construction cost in the early stages of a project, he/she can secure a decision period and support a more rational decision. During the planning and design stages, there is a limited amount of variables that can be selected for the estimating model. Moreover, since the number of completed smart schools is limited, there is little data. In this study, various artificial intelligence models were used to accurately predict the construction cost in the planning and design phase with limited variables and lack of performance data. A theoretical study on an artificial neural network and deep learning was carried out. As the artificial neural network has frequent problems of overfitting, it is found that there is a problem in practical application. In order to overcome the problem, this study suggests that the improved models of Deep Neural Network and Deep Belief Network are more effective in making accurate predictions. Deep Neural Network (DNN) and Deep Belief Network (DBN) models were constructed for the prediction of construction cost. Average Error Rate and Root Mean Square Error (RMSE) were calculated to compare the error and accuracy of those models. This study proposes a cost prediction model that can be used practically in the planning and design stages.

• 유통과학연구
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• 제22권3호
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• pp.33-47
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• 2024

Purpose: Most emerging-market countries are concerned about the technology boom, which is accompanied by an increase in revenue from online sales and services. This finding has been demonstrated during the COVID-19 pandemic; however, is this tendency continuing in the new normal, and what factors are driving the increase in consumer decisions? The purpose of this research is to investigate how the decision to utilize online services will be affected in the new normal as well as propose a new research approach in this field. Research Design, Methodology and Approach: By following a deductive research method associated with positivist philosophy, a survey in South Vietnam with 426 respondents using a convenience sampling method was conducted. The reliability of the measurement scales was examined by using the SPSS program. The SmartPLS programme was utilised to assess the measurement and structural models as well as test hypotheses by using partial least squares structural equation modelling. Results: According to the research findings, decision-making has been impacted by social influences, perceived usefulness, perceived ease of use, perceived trust, perceived price, and perceived convenience. Conclusions: The research results also bring significant contributions not only in practice in providing management implications but also in theory. The research model has also demonstrated the feasibility of employing the stimuli-organism-response framework and combining the theory of perceived risk with the technology acceptance model via the explanation of decision-making.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.69-78
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• 2007

In real world, the project managers handle conflicting goals that govern the use of resources within the stipulated time and budget with required quality and safety. These conflicting goals are required to be optimized simultaneously by the project managers in the framework of fuzzy aspiration levels. The fuzzy linear programming model proposed herein helps project managers to minimize total project costs, completion time, and crashing costs considering indirect costs, contractual penalty costs etc by practically charging them in terms of direct cost of the project. A case study of bituminous pavement under construction is considered to demonstrate the feasibility of applying the proposed model for optimization of project parameters. Consequently, the proposed model yields an efficient compromise solution and the decision maker's overall degree of satisfaction with multiple fuzzy goal values. Additionally, the proposed model provides a systematic decision-making framework, enabling decision maker to interactively modify the fuzzy data and model parameters until a satisfactory solution is obtained. The significant characteristics that differentiate the proposed model with other models include, flexible decision-making process, multiple objective functions, and wide-ranging decision information.

• 정보보호학회논문지
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• 제27권3호
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• pp.637-651
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• 2017

금융회사가 개인정보를 수집하기 위해서는 법률에 정해진 내용을 소비자에게 명시적으로 알리고 사전 동의를 받도록 되어 있다. 그 결과 금융상품이 복잡해지고 다양해짐에 따라 '개인정보제공 동의서' 내용도 복잡해지고 분량이 많아지게 되었다. 특히 인터넷과 모바일의 경우 화면 크기의 제약으로 글씨가 더 작아지면서 더욱 이해하기가 힘들어졌다. 이것은 개인정보를 수집하는 거의 모든 기업이 비슷한 상황이어서, 서비스를 이용하는 소비자 입장에서는 동의 내용을 이해못한 채 습관적으로 동의하는 모순이 생기고 있다. 본 연구에서는 금융회사 인터넷 홈페이지를 통한 합리적인 개인정보 수집 및 이용 동의 정책 수립 모델을 제시하기 위해 국내외 법제도를 고찰하여 문제점을 도출하고 개선 방안을 제시한다. 또 연구를 통해 선정된 평가요인을 AHP(Analytic Hierarchy Process)방법을 이용하여 의사결정 모델과 공식을 제시하고 검증한다.

• 콘크리트학회논문집
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• 제14권6호
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• pp.1022-1031
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• 2002

본 연구에서는 분규ㆍ회귀목-적응 뉴고 퍼지추론 시스템을 사용하여 교량 구조물에 대한 유용한 모델을 제시하였다. 퍼지결정목은 데이터집합의 입력영역이 서로 다른 영역으로 분류되고 하나의 부호나 값으로 나타내지며 데이터 정점에서 특정화시키기 위한 활동영역으로 할당되기도 한다. 분류문제로 사용되는 결정목은 가끔 퍼지결정목이라고 불려지는데, 각 최종점은 주어진 특정백터의 예측등급을 나타낸다. 회귀문제에 사용되는 결정목을 가끔 퍼지회귀목이라고 하는데, 이 때 최종점 영역은 주어진 입력백터의 예측 출력 값을 상수나 방정식으로 나타낼 수 있다. 분류ㆍ회귀목은 관련된 입력값을 선택하여 입력구역에서 분류 할 수 있는 반면에 적응 뉴로 퍼지추론 시스템은 회귀문제를 수정하고 이틀의 회귀문제를 보다 연속적이면서 간략하게 만들 수 있음을 주목해야 한다. 따라서 분류ㆍ회귀목과 적응 뉴로 퍼지추론 시스템은 서로 상보적인 것이며, 이들의 조합은 퍼지모델링을 위해 실직적인 근사식으로 구성된다.

• 패션비즈니스
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• 제18권6호
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• pp.188-207
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• 2014

The purpose of this research was to examine the extent of deontological (values) and teleological evaluation (considering consequences) used in arriving at an ethical judgment concerning intention to purchase a fashion counterfeit. In addition, the effect of psychographic (attitudes toward counterfeiting, risk taking, self-image, value consciousness, public self-consciousness, and materialism) and product attributes (perceived fashion content, physical appearance, and image) on intention to purchase a counterfeit product were investigated. Two alternatives and possible consequences as well as the scenario were given to the participants. The first alternative is persuading a friend not to buy a counterfeit and the second alternative is purchasing a counterfeit product with a friend. Participants (n = 245) were undergraduate volunteers enrolled in courses at a Midwestern university. Data were analyzed using confirmatory factory analysis and structural equation modeling. The proposed structural models fit the data adequately in both alternatives, and all paths were significant. Participants followed the decision making steps outlined by Hunt and Vitell (1986) in both alternatives. Personal characteristics exerted no influence on behavioral intentions concerning counterfeits. Two product-related characteristics (i.e., physical appearance of a counterfeit and projected image of a counterfeit) had direct effects on the behavioral intentions. The conclusions of this research are helpful in improving our understanding of variables that influence consumers' purchasing counterfeit luxury products.

• 한국산림과학회지
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• 제85권2호
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• pp.149-157
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• 1996

본 연구는 22개 지역에 대하여 임목수확 및 무육작업을 위한 임도개설순위를 결정하기 위하여, 다기준의사결정법중에 선호보정이 없는 모형인 최대최소법 및 최대최대법, 선호보정이 있는 모형인 단순가중치법, 계층가중치법 및 TOPSIS법의 적용성을 검토하였다. 그 결과 단순가중치법과 TOPSIS법이 임도개설순위의 결정에 적합한 것으로 판명되었다.

• 정신간호학회지
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• 제27권4호
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• pp.380-393
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• 2018

Purpose: The purpose of this study was to explore psychiatric nurses' decision making in the use of seclusion and restraint (SR). Methods: Data were collected using focus group interviews. Two focus group interviews were held with a total of 10 psychiatric nurse participants. All interviews were recorded and transcribed, and data were analyzed using qualitative content analysis. Results: Eleven categories emerged from three main themes. All the themes describe factors that participants took into account when deciding whether to implement SR: 1) Personal factors area: 'Personal attributes of nurses,' 'Attitude of nurses regarding SR,' 'Nurses' physical and emotional states,' 'Negative experiences of nurses related to SR'; 2) Relational factors area: 'The level of cooperation between nurses and doctors,' 'Role models created by seniors and colleagues,' 'The level of support by nursing assistants,' 'Therapeutic relations with patients'; and 3) Environmental factors area: 'Poor nursing work environment,' 'Atmosphere of ward regarding SR,' and 'Social atmosphere to raise alarm about SR.' Conclusion: These findings should be considered in the evaluation of the use of SR in psychiatric hospital settings and appropriate strategies used to help minimize the use of restraint.

• Asia pacific journal of information systems
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• 제11권2호
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• pp.181-203
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• 2001

As the Internet is used extensively, multimedia information becomes more prevailing and accessible. However, legacy decision support systems rarely mention how to put such multimedia contents into practical use for decision making and support. In particular, no proposals have yet been made on how to integrate the decision technologies and multimedia databases in model management systems. Hence, the aim of this paper is to propose a new model management method to integrating decision technologies and an image database management system to create a multimedia decision support. For this purpose, extended ARG and structured modeling techniques are adopted, to represent image contents and mathematical models respectively. A web-based prototype system is presented to illustrate the feasibility and usability of the methodology.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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• pp.69-72
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• 1996

The usability of the Internet including WWW (World Wide Web) is dramatically growing in current management environment. These allow decision makers to enhance the productivity of decision making by referring valuable information in the remote sites. This paper presents how WWW can be applied to build distributed and collaborative DSS. Especially, a framework of Internet-based DSS is delineated, and then an idea of representing and managing models in the Internet-based DSS is suggested.