• 대한간호학회지
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• 제31권2호
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• pp.328-339
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• 2001

The purpose of this study was to describe decision making model of 180 public health nurses in Korea and their knowledge structure for decision making. The differences of decision making models by nurse's knowledge structure were also tested. Research concepts were measured using the instrument based on systemic and interpretive decision making approaches that were developed by Lauri & Salantera (1995). The results were as follows. 1. The public health nurses turned to, most commonly, a mixed practical-theoretical knowledge structure (45.9%), followed by practical knowledge (32%) and theoretical knowledge (22.1%). 2. The six different decision making models were identified. These were named for decision making theories and nursing process. These were client-oriented decision making, rule-oriented systemic decision making, wholistic and intuitive decision making, decision making depending on subjective view and experience, systemic decision making for defining problems. 3. The public nurses who had practical and practical-theoretical knowledge structure and community health practitioner (CHP) retold that decision making depends on subjective view and experience. Also the public health nurses who had 5~19 years clinical experience represented hypothetico-deductive decision making for defining problems.

• 한국시스템다이내믹스연구
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• 제16권2호
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• pp.75-100
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• 2015

The purpose of this study is to analyze causation of Ecosystem service's trade-off(ES trade-off) and to establish baseline data for wise spatial planning and management. In order to understand why and how ES trade-off occurs, systems thinking and causal loops were employed. The causal loop of ecosystem service creation cycle includes profits quantification process, decision making process, spatial planning and management process, and ecosystem services creation process. The profits quantification process has a limitation that all ecosystem service categories were not included in profits quantification, because quantification method for cultural services is insufficient. These problems led to unequal discussion opportunity in decision making process. ES trade-off occurs through transition of ecosystem function in spatial scale and temporal scale. In spatial scale, land-use variation and resource-use variation contribute to change an ecosystem function for different ES category by spatial planning and management. In temporal scale, a change of an ecosystem function for different ES category is influenced by ecological succession, seasonal change and land cover variation, which are parameter from environmental features. This study presented that spatial planning and management should ecosystem service assessment in order to enhance balanced ecosystem services.

• 한국컴퓨터정보학회논문지
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• 제22권4호
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• pp.33-39
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• 2017

In this paper, we expand the process of classification to an ensemble of fuzzy decision tree. For indoor space recognition, many research use Boosted Tree, consists of Adaboost and decision tree. The Boosted Tree extracts an optimal decision tree in stages. On each stage, Boosted Tree extracts the good decision tree by minimizing the weighted error of classification. This decision tree performs a hard decision. In most case, hard decision offer some error when they classify nearby a dividing point. Therefore, We suggest an ensemble of fuzzy decision tree, which offer some flexibility to the Boosted Tree algorithm as well as a high performance. In experimental results, we evaluate that the accuracy of suggested methods improved about 13% than the traditional one.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2007년도 추계학술대회 및 정기총회
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• pp.121-129
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• 2007

Recently a multi-attribute structure analysis method is one of the evident areas of important points in the decision support system analysis. This research developed an internet/intranet-based solution builder for a three-step decision support system using fuzzy-AHP in the view of 1) brainstorming far the idea generation, 2) fuzzy-AHP (fuzzy analytic hierarchy process) as a multi-attribute structured analysis method and 3) aggregation logic model to integrate the results of individual analysis. We applied this decision support system to the make-or-buy decision problem for school foodservice system considering the multi-attributes in the decision making. A computer program is developed and demonstrated it internet/intranet-based decision problem. It was known that this solution builder provides decision makers a good tool for mate-of-buy group decision making.

• Management Science and Financial Engineering
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• 제10권1호
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• pp.1-23
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• 2004

The changing structure of organization and the increasing diversity of business have forced organizations to have abilities to coordinate dispersed business activities. They have required cooperation and coordination among the functional units in the organization which should involve group decision-making processes. Although many group decision-making support tools and methods have been introduced to enable the collaborative process of group decision-making, they often lack the features supporting the dynamic complexity issue frequently occurring at group decision-making processes. This results in cognitive unfit between the group decision-making tasks and their supporting tools, bringing about mixed results in their effects on group decision-making. This study proposes system dynamics modeling as a group decision-making support tool to deal with the group decision -making tasks having properties of dynamic complexity in terms of cognitive fit theory.

• 한국건설관리학회논문집
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• 제9권2호
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• pp.125-135
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• 2008

다중이용시설물에서 이용객의 안전을 책임지는 관리자들은 인간의 판단에 의존한 (human-based) 의사결정과정을 통해서 자신들의 과업과 관련된 의사결정을 내린다. 그러나 이 과정 속에는 인적과오(Human error) 발생으로 인한 인재 발생의 가능성이 상존하고 있다. 이러한 현상은 관리자의 의사결정 과정을 지원하기 위한 기술 기반 (technology-based) 의사결정 지원체계를 구축함으로써 개선할 수 있다. 3D CAD와 3D GIS 기술 등의 공간관리 기술과 이미지 프로세싱 기술 등 첨단 IT 기술들의 컨버전스를 통해 구축된 총간 관리 시스템은 관리자들에게 프로액티브한 상황 정보를 제공해 주어, 재난상황에 대해 미리 대책을 수립하여 실시간으로 대응하게 해 줌으로서 궁극적으로 인재 발생의 가능성을 줄일 수 있는 여지가 있다. 본 연구는 이러한 니즈에 기인하여 다중이용시설물에서 이용객의 흐름을 관리하기 위한 기술기반 (technology-based) 시스템의 개념을 제안하고, 시스템의 개발을 위한 요소기술의 도출 및 통합화방안을 제안했으며, 이것의 기대효과에 대해 설명하고 있다.

• 한국의류산업학회지
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• 제11권4호
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• pp.537-548
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• 2009

Consumers' price related response in the clothing purchase decision-making process includes their expectation of price, price perception, attitude toward price and consequent behaviors. The purposes of this research are to systematically organize consumers' price related responses in the clothing purchase decision-making process, and to explain the effect of price on their purchasing. The qualitative research including shopping observation and in-depth interview was conducted. The result identified stages that showed different price related responses in clothing purchase decision-making process, and clarified each stage's characteristics. In the internal search stage, consumers recalled price information from memory and had a specific expectation about the price. This set a direction for the external search. In the external search stage, consumers selected brands or stores by a non-compensatory evaluating with an expectation of the price, and narrowed these down to several determinant alternatives by actively evaluating the products. In case a sufficient amount of price information was not recalled, the consumer established reference price through the external search. Finally, in the purchasing stage, consumers evaluated the determinant alternatives based on their compensatory evaluation. When perception of price was negative, consumers evaluate price combined with the higher criteria of clothing benefits, such as symbolic value and usability. The research is expected to contribute to predicting consumers' responses to price, and to establishing an effective pricing strategy.

• 산업경영시스템학회지
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• 제39권1호
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• pp.123-129
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• 2016

In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

• 보건행정학회지
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• 제9권2호
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• pp.77-94
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• 1999

The purpose of this study is to establish strategy by subdividing consumer market according to the lifestyle which influences the use of medical facilities. The subject of this study were 700 adults who were over 20 years of age and residing in Suwon and its vicinity. To collect data trained staff conducted person-to-person interviews with the assistance of structured questionnaires. The questionnaires cover the areas of life style pattern study. the characteristics of demographic sociology, decision-making process related to the use of medical service. The influencing factors were analyzed and as a result total 18 factors were singled out. Cluster analysis was performed to differentiate similar responses. Each group was named as 'health-unconcern type' 'passive health-concern type' 'regular health-concern type' and 'active health-concern type' according to the characteristics. Each group showed statistically significant difference in the characteristics of demographic sociology. Decision-making process regarding the use of medical service according to lifestyle was analyzed. As a result following items showed significant difference:whether the information was utilized, what was the criteria in selecting medical facilities for serious illness or complicated examination. who was the decision maker in selection medical facilities, and with whom one discussed in selecting medical facilities. The result of this study has its limitation in that it can not be applied directly to market subdivision. However, this will help medical facilities understand customers' lifestyle. which will eventually provide medical facilities with marketing tools in establishing effective PR strategy. In order to apply the lifestyle as a marketing tool of medical facilities, following tasks are to be carried out: the development of the questionnaire which can better analyze consumers' lifestyle related to the use of medical service. the examination of precise characteristics of subdivided market according to lifestyle. and the continuing study on the relationship between lifestyle and the process in selecting medical facilities.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1036-1057
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• 2013

Wireless body area network (WBAN) is a promising candidate for future health monitoring system. Nevertheless, the path to mature solutions is still facing a lot of challenges that need to be overcome. Energy efficient scheduling is one of these challenges given the scarcity of available energy of biosensors and the lack of portability. Therefore, researchers from academia, industry and health sectors are working together to realize practical solutions for these challenges. The main difficulty in WBAN is the uncertainty in the state of the monitored system. Intelligent learning approaches such as a Markov Decision Process (MDP) were proposed to tackle this issue. A Markov Decision Process (MDP) is a form of Markov Chain in which the transition matrix depends on the action taken by the decision maker (agent) at each time step. The agent receives a reward, which depends on the action and the state. The goal is to find a function, called a policy, which specifies which action to take in each state, so as to maximize some utility functions (e.g., the mean or expected discounted sum) of the sequence of rewards. A partially Observable Markov Decision Processes (POMDP) is a generalization of Markov decision processes that allows for the incomplete information regarding the state of the system. In this case, the state is not visible to the agent. This has many applications in operations research and artificial intelligence. Due to incomplete knowledge of the system, this uncertainty makes formulating and solving POMDP models mathematically complex and computationally expensive. Limited progress has been made in terms of applying POMPD to real applications. In this paper, we surveyed the existing methods and algorithms for solving POMDP in the general domain and in particular in Wireless body area network (WBAN). In addition, the papers discussed recent real implementation of POMDP on practical problems of WBAN. We believe that this work will provide valuable insights for the newcomers who would like to pursue related research in the domain of WBAN.