• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.81-92
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• 2021

As the aging population of Korean agriculture and rural areas and the decline of the agricultural population are gradually deepening, the influx of population through returning to farming and rural areas is urgently needed. To this end, the most important problems to be solved were the lack of information that would help those who want to return to farming or rural areas when making decisions. Therefore, a survey was conducted for AHP analysis on related experts to find out the information (decision factors) required when selecting a return-to-farm or return-to-country migration area through this study. The AHP analysis showed that "Economic factors" were the most important among the three items in the primary class, while "Housing and land prices", "Metropolitan accessibility and traffic" and "Residential information" were the most important in the secondary class. The results of these studies are reflected in the information system to systematically support the decision-making of those who wish to return to farming or rural areas.It is hoped that it will be indirectly helpful and ultimately contribute to the revitalization and development of Korean agriculture and rural areas, which are aging.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.723-732
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• 2014

The purpose of this study was to examine the factors influencing copyright protection decision-making among Korean eSports game users. Data collection was conducted over a month at an eSports arena located in Seoul. Of the surveys collected, 354 valid data (88.5% of response rate) were analyzed in SPSS Ver. 20.0 through descriptive statistics, correlation and multiple regression analysis. The results showed that copyright protection decision-making regarding eSports contents was significantly influenced by legal/moral norm, perceive group norm, and past habit/behavior. Among the factors, legal/moral norm was found to be the most influential on copyright protection decision-making.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.205-214
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• 2011

With the success of Kindle, an electronic book reader developed by Amazon.com, there has been a growing interest in both electronic books and readers in Korea. In this paper, we analyze electronic book user needs through fuzzy analytic hierarchy process (AHP) and conjoint analysis. First, we select the important factors which can affect the intention to purchase electronic book readers by applying the fuzzy AHP with the help of electronic book experts. Next, we perform conjoint analysis to reveal the detailed needs of electronic book users for each of the selected factors. Some useful implications and research limitations are also presented with future research directions.

• Journal of Distribution Research
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• v.5 no.2
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• pp.69-90
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• 2001

This study is to confirm how customers relationship-orientation toward the focal company has been constructed by what factors. The major factors are including the level of customer satisfaction and four components of transaction-characteristics like efficiency of decision making, inertia of decision making, information-seeking in store, and perceived risk. For testing of the hypotheses, customer survey has been conducted at four department stores and three discount stores in the Bundang Area. The sample size is 494. The result of the survey has indicated that customers relationship-orientation is influenced by customer satisfaction, efficiency of decision making, and inertia of decision making, but not by information-seeking in store and perceived risk. Further research has been needed for solving these conflicting results.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.375-385
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• 2015

The study is to develop specific strategies to prevent adolescents' depression, early detection and intervention services. This study was a descriptive research study with the purpose of predictors of protective factors for depression in adolescent using decision making tree analysis. The subjects for the study were 485 student in G city. This study collected data between September 23, 2013 and September 26, 2013 and analyzed them with frequency analysis, percentage, the mean and standard deviation, ${\chi}^2$-test, t-test, and a decision-making tree by using SPSS 20.0 program. From the data analysis, the predictive model for protective factors related to depression in adolescent with 4 pathways, 12 nodes. The common predicting variables of depression in adolescent were characteristics, family cohesion, parent adolescent communication, peer communication. The specialty of training data and test data was 76.0% and 65.4%. The sensitivity of training data was 78.2% and 63.7%. As for the classification accuracy, training data and test data explained 70.1% and 69.7%. Parent adolescent communication and peer communication to decrease depression of Korean middle and high school students are necessary. This study should contribute as baseline data for intervention strategies and planning ability of depression prevention in adolescents.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.45-53
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• 2000

Geographical Information Systems(GIS) overlay analyses, while ideal for performing spatial searches on nominally mapped criteria, are of limited use when multiple uncertian criteria are concerned. But, Multi-Criteria Evaluation(MCE) techniques offer a means of making complex siting decisions, involving multiple criteria. The integration of GIS and MCE techniques became rational and objective approach to perform land suitability analysis on the basis of multiple criteria. An example application based on the search for suitable sites for the collective facility area in the kimhae daechung park using IDRISI is described.

• Journal of the Korean hospital association
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• v.14 no.10 s.128
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• pp.22-33
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• 1985

• Journal of the Korea Institute of Building Construction
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• v.11 no.2
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• pp.100-107
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• 2011

As construction duration significantly influences the performance and the success of construction projects, it is necessary to appropriately manage the impact factors affecting construction duration. Recently, interest in the construction industry has been rising due to the recent change in the construction legal system, and the competition among the construction companies on construction time. However, the impact factors are extremely diverse. The existing productivity data on impact factors is not sufficient to properly identify the impact factor and measure the productivity from various perspectives, such as subcontractor, time, crew, work and so on. In this respect, a multidimensional analysis by a data warehouse is very helpful in order to view the manner in which productivity is affected by impact factors from various perspectives. Therefore, this research proposes a method that effectively takes the diverse productivity data of impact factors, and generates a multidimensional analysis. Decision tree analysis, a data mining technique, is also applied in this research in order to supply construction managers with appropriate productivity data on impact factors during the construction management process.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.439-449
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• 2020

This study aimed to identify factors influencing the preferences for end-of-life (EOL) care among undergraduate nursing students. In this cross-sectional study, data were collected from December 2017 to February 2018. This study included 217 undergraduate nursing students. Factors influencing the preference for 'autonomous physiological decision-making' were the following: education level(by grade), having biomedical education, attitude towards death, and attitude towards life-sustaining treatments (LSTs). Preference for 'decision-making by healthcare professionals' was related to having a religion. Factors influencing the preference for 'spirituality' were education level, having a religion, and academic major satisfaction. Preference for 'pain control' was associated with education level, experience with dying patients, bad self-rated health, attitude towards death, and attitude towards LSTs. The study findings suggest that education regarding LSTs, EOL care, and EOL decision-making in nursing curricula is essential.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.171-174
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• 2007

본 논문에서는 다기준 의사결정방법 중에 하나인 AHP(Analytic Hierarchy Process)를 이용하여 상수도관의 개량 우선순위 결정 및 노후화에 영향을 가장 많이 주는 위험요인을 평가할 수 있는 기법을 제안한다. 제안된 방법은 3단계의 계층구조로 구성되어 있으며, 1단계에서는 AHP를 이용하여 우선순위를 예측하고자 하는 관망에 대해서 평가 인자들에 대한 출력값을 산출한다. 2단계에서는 1단계에서 계산된 값들을 이용하여 물리적 척도와 환경적 척도 값을 산출하고, 최종 3단계에서 산출값들을 이용하여 우선순위를 결정하도록 구성되어 있다. 제안된 방법은 FCP에 의한 기존 연구와 비교함으로써 타당성을 검증하였다.