• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.1-16
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• 1995

The field of human judgment and decision making provides useful methodologies for examining the human decision making process and substantive results. One of the methodologies is a lens model analysis which can examine valid nonlinearity in the human decision making process. Using the method, valid nonlinearity in human decision behavior can be successfully detected. Two linear(statistical) models of human experts and two nonlinear models of human experts are compared in terms of predictive accuracy (predictive validity). The results indicate that nonlinear models can capture factors(valid nonlinearity) that contribute to the expert's predictive accuracy, but not factors (inconsistency) that detract from their predictive accuracy. Then, it is argued that nonlinear models cab be more accurate than linear models, or as accurate as human experts, especially when human experts employ valid nonlinear strategies in decision making.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.73-89
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• 2021

Establishing career goals and making a career choice is the most crucial task for college students. This study aims to identify the motive of college students' career choices and analyze the relationship between career capabilities and career decision-making in order to provide basic materials that can assist college students in the career decision-making process. To do this, a survey was conducted among college students attending a D university in Busan. A total of 326 survey responses were selected for analysis, and path analysis was conducted using SPSS 25 and AMOS 25. The results of the study are as follows. First, intrinsic motivation for career choice and extrinsic motivation for career choice were found to affect career consideration and career management capabilities, respectively, with statistical significance. Second, career consideration and career path management capabilities influenced both concreteness and confidence, which are elements of career decision-making with statistical significance. Intrinsic motivation for career choice and extrinsic motivation for career choice affected concreteness and confidence in career decision-making with career consideration and career management capabilities as parameters. These findings imply that in order to increase the concreteness and confidence in the career decision-making of undergraduate students, it is necessary to strengthen their career consideration and career management capabilities. As the unemployment rate of youths rises and the types and specialization of jobs increase amid uncertainty in the future employment conditions, undergraduate students face increasing difficulties in career decision-making. The results of this research are expected to be used as basic materials for the career decision-making of undergraduate students, which will assists in career path consultation and guidance in universities.

• The Journal of Korean Academy of Prosthodontics
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• v.46 no.6
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• pp.610-619
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• 2008

STATEMENT OF PROBLEM: Factors affecting patients' decision-making for dental prosthetic treatment should be examined in terms of understanding improving patients' oral health. PURPOSE: The main purpose of this dissertation was to investigate patients' dental prosthetic treatment and factors affecting patients' decision-making for dental prosthesis treatment in Deagu and Gyungbook areas. MATERIAL AND METHODS: This study was based on the preliminary survey of dental patients conducted from July 1 to August 31 in 2006. A total of 700 questionnaires had been distributed and 640 were collected. 629 questionnaires were used for the statistical analysis. Descriptive and inferential statistics, such as frequencies, cross tabulation analysis, correlation analysis, logistic regression analysis, and multiple regression analysis were introduced. In the multiple regression analysis and logistic regression analysis, twenty-two independent variables were employed to explore the factors which have impacts on decision-making and satisfaction. RESULTS: The results of this dissertation are as follows: Logistic regression analysis turned out that monthly income, age, degree of expectation, marital status, and employer-insured policy of national insurance statistically increased the odds of decision-making of dental prosthesis treatment. But educational attainment decreased the odds ratio of the decision-making of dental prosthesis treatment. However, the rest independent variables do not have statistically significant impacts on the decision-making of dental prosthesis treatment CONCLUSION: Among independent variables, marital status had the most significant influence on the decision making of dental prosthesis treatment. Finally, suggestions for the future study and policy implications to improve satisfaction of the patients' dental prosthetic treatment were discussed.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.955-959
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• 2010

The statistical analysis module is developed for the part of the new standardized geotechnical database computer program. The purpose of this module is that the geotechnical engineers can optimize the underground construction process of the underdeveloped urban area rehabilitation by this module providing the statistical information for the geotechnical decision making and risk assessment. This module will be modified to offer the statistical information sustainable for the newly adapted geotechnical limit-state design methods.

• Journal of the Korean Home Economics Association
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• v.20 no.3
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• pp.65-83
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• 1982

In this paper, the writer makes attempts to investigate what kinds of decision-making patterns are adopted, when husbands and wives make up their minds about home managerial problems of farming or fishing villages in Jeju Island. The data in this study were drawn through the questionaire collected from 299 families of farming of fishing villages in Jeju Island. Percentage and F-test applied to statistical analysis. The results are found as follows: 1. Although husbands and wives do joint decision making with each other, some decision making spheres are classified according to problems. 2. Family types are mainly made up of Autonomic family and syncratic family, but there are comparatively by far syncratic family in Jeju Island than any other area. 3. The background variables to be influenced upon are their ages, educational level, duration of marriage, the number of whole family, the number of daughters, the number of children, managing power of their living expenses, satisfaction of their conjugal lives, daily communication status, quarrels between them, locations of farming or fishing villages, etc.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.67-81
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• 2023

This paper presents a dynamic development of an ontology-based statistical information system supporting the collection, storage, processing, analysis, and the presentation of statistical knowledge at the national scale. To accomplish this, we propose a data mining technique to dynamically collect data relating to citizens from publicly available data sources; the collected data will then be structured, classified, categorized, and integrated into an ontology. Moreover, an intelligent platform is proposed in order to generate quantitative and qualitative statistical information based on the knowledge stored in the ontology. The main aims of our proposed system are to digitize administrative tasks and to provide reliable statistical information to governmental, economic, and social actors. The authorities will use the ontology-based statistical information system for strategic decision-making as it easily collects, produces, analyzes, and provides both quantitative and qualitative knowledge that will help to improve the administration and management of national political, social, and economic life.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.243-253
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• 2013

This research paper introduces the application and implementation of medical decision metrics that classifies medical decision-making into four different metrics using statistical diagnostic tools, such as confusion matrix, normal distribution, Bayesian prediction and Receiver Operating Curve(ROC). In this study, the metrics are developed based on cross-section study, cohort study and case-control study done by systematic literature review and reformulated the structure of type I error, type II error, confidence level and power of detection. The study proposed implementation strategies for 10 quality improvement activities via 14 medical decision metrics which consider specificity and sensitivity in terms of ${\alpha}$ and ${\beta}$. Examples of ROC implication are depicted in this paper with a useful guidelines to implement a continuous quality improvement, not only in a variable acceptance sampling in Quality Control(QC) but also in a supplier grading score chart in Supplier Chain Management(SCM) quality. This research paper is the first to apply and implement medical decision-making tools as quality improvement activities. These proposed models will help quality practitioners to enhance the process and product quality level.

• Journal of the Korea Safety Management & Science
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• v.3 no.2
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• pp.133-144
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• 2001

This article deals with the multiple alternative proposal of Strategy. when Decision makers meet a very complex and important problems to take a good choice. It might not be easy that we make a decision and accept the decision as an exact result of analysis at a complication and uncertain situation. Although the decision under unpredictable state is many existence and each field is classified to support it. he can not provide exact estimations and be able to specify a result and forecasting. This is the reason why the original research use Statistical Survey method and Visual Decision Making Process(VDMP) to improve decision analysis method. Therefore, Our research suggests that the VDMP utilized in the strategic decision making situation as a group decision adding tool, can be applied in the development of a process vision and implementation plan. as a result, researcher describe step by step the process of VDMP.

• Journal of Families and Better Life
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• v.11 no.1
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• pp.203-217
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• 1993

The purpose of this study was to investigate relations of decision-making power of the elderly to home management and life satisfaction by applying a social behavior theory and exchange theory and to find out the device which improve the elderly life satisfaction at the home management view. For these research tasks the data was collected through the questionaire and interview those respondents were 273 woman elderly living with one of their married children in Seoul. It was analyzed by various statistical methods such as Frequency Percentile ANOVA F-test t-test Pearson's Corrdlation Analysis Multiple Regression Analysis. The results of this study are as follows: 1) Decision-making power of the elderly to home management had significant differences according to all of th variables except for religion job status of the elderly and education income of the children. 2) Decision-making power of the elderly to home management had the significant differences according to the variable such as income of the elderly solidarity between the elderly and their adult children age of the elderly The most influencial factor was income of the elderly. 3) Elderly life satisfaction had significant differenced according to all of the variables except for age job status of the elderly and education income of the children inmate children 4) In the result of analyzing the elderly life satisfaction the most influencial factor was decision-making power to home management and the explanary power to home management and the explanary power of those variables for the elderly life satisfaction was 56.2%.