• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.434-440
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• 2010

In this paper, we define generalized induced linguistic aggregation operator called generalized induced linguistic ordered weighted harmonic mean(GILOWHM) operator. Each object processed by this operator consists of three components, where the first component represents the importance degree or character of the second component, and the second component isused to induce an ordering, through the first component, over the third components which are linguistic variables and then aggregated. It is shown that the induced linguistic ordered weighted harmonic mean(ILOWHM) operator and linguistic ordered weighted harmonic mean(LOWHM) operator are the special cases of the GILOWHM operator. Based on the GILOWHM and LWHM operators, we develop an approach to group decision making with linguistic preference relations. Finally, a numerical example is used to illustrate the applicability of the proposed approach.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.106-110
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• 2001

The Analytic Hierarchy Process (AHP) is well suited to group decision making and offers numerous benefits as a synthesizing mechanism in group decisions. To date, the majority of AHP applications have been in group settings. In general, aggregation methods employed in AHP can be largely classified into two methods: geometric mean method and (weighted) arithmetic mean method. In a situation where there do not exist clear guidelines for selection between them, two methods do not always guarantee the same group decision result. Thus we suggest a simulation approach for building group consensus as a complementary tool, even when just group judgments are required. Without any efforts to make point estimates from individual diverse preference judgments, a simulation approach suggests the process how the individual preference judgments are aggregated into consensus, displaying possible disagreements as is natural in group members' different viewpoints.

• Management & Information Systems Review
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• v.4
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• pp.573-593
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• 2000

The purpose of this study is to investigate the level of correctness accounting information with the two alternative forms of presenting information outputs. Specifically two different methods of presenting accounting information, the table form and the graphical form were employed to test the level of correctness of the accounting information user's decision making. Using college students as a surrogate decision maker, this research have found that there is no statistically significant difference in the correctness of decision making between the two groups, one group using the table form of accounting information and another group using the graphical form of accounting information.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.15-32
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• 2006

The increasing complexity of the socio-economic environments makes it less and less possible for single decision-maker to consider all relevant aspects of problem. Therefore, many organizations employ groups in decision making. In this paper, we present a multiperson decision making method using fuzzy logic with linguistic quantifier when each of group members specifies imprecise judgments possibly both on performance evaluations of alternatives with respect to the multiple criteria and on the criteria. Inexact or vague preferences have appeared in the decision making literatures with a view to relaxing the burdens of preference specifications imposed to the decision-makers and thus taking into account the vagueness of human judgments. Allowing for the types of imprecise judgments in the model, however, makes more difficult a clear selection of alternative(s) that a group wants to make. So, further interactions with the decision-makers may proceed to the extent to compensate for the initial comforts of preference specifications. These interactions may not however guarantee the selection of the best alternative to implement. To circumvent this deadlock situation, we present a procedure for obtaining a satisfying solution by the use of linguistic quantifier guided aggregation which implies fuzzy majority. This is an approach to combine a prescriptive decision method via a mathematical programming and a well-established approximate solution method to aggregate multiple objects.

• Korean Journal of Childcare and Education
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• v.10 no.1
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• pp.81-94
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• 2014

This study is intended to identify the motivations for seeking child care credentials through online education and factors influencing the career decision-making. The study was conducted among students taking child care courses online, and data was analyzed through t-test, F-test, Scheffe posteriori test, and hierarchical regression analysis. The findings are as follows. 1) Motivation for seeking the credentials varied depending on background variable. Livelihood was a stronger motivation for low-income group than higher come group. Self-realization desire was a stronger motivation for the group with low education level than the group with higher education level. 2) Age affected the participants' career decision-making. The younger they were, the more dependent they were on other people's advice. 3) Different variables influenced the students' rational, intuitional, and dependent career-decision making. Factors influencing their rational career decision-making were age, motivation to acquire the credentials for making a living, and motivation for building a better future. For intuitional career decision-making, age affected the decision. For dependent career decision-making, motivation to seek credentials for making a living was an influencing variable.

• Journal of Computing Science and Engineering
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• v.11 no.4
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• pp.142-151
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• 2017

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that sICH occurrence is related to weather conditions; therefore, this study used the decision tree method to explore the impact of climatic risk factors on sICH at different ages. The Taiwan National Health Insurance Research Database (NHIRD) and other open-access data were used in this study. The inclusion criterion was a first-attack sICH. The decision tree algorithm and random forest were implemented in R programming language. We defined a high risk of sICH as more than the average number of cases daily, and the younger, middle-aged and older groups were calculated as having 0.77, 2.26 and 2.60 cases per day, respectively. In total, 22,684 sICH cases were included in this study; 3,102 patients were younger (<44 years, younger group), 9,089 were middle-aged (45-64 years, middle group), and 10,457 were older (>65 years, older group). The risk of sICH in the younger group was not correlated with temperature, wind speed or humidity. The middle group had two decision nodes: a higher risk if the maximum temperature was >$19^{\circ}C$ (probability = 63.7%), and if the maximum temperature was <$19^{\circ}C$ in addition to a wind speed <2.788 (m/s) (probability = 60.9%). The older group had a higher risk if the average temperature was >$23.933^{\circ}C$ (probability = 60.7%). This study demonstrated that the sICH incidence in the younger patients was not significantly correlated with weather factors; that in the middle-aged sICH patients was highly-correlated with the apparent temperature; and that in the older sICH patients was highly-correlated with the mean ambient temperature. "Warm" cold ambient temperatures resulted in a higher risk of sICH, especially in the older patients.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.3
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• pp.89-95
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• 2014

The purpose of this study was to examine the impact of a career exploration education to job-seeking anxiety, career maturity and Career decision-making in an effort to prove the effectiveness of career exploration education. The subjects in this study were 65 high school student who were users of B high school in the city of Gwang-Ju. An experimental group and a control group were organized with 65 high school student' each, and a career exploration education was conducted in nine sessions, once a week. The major findings of the study were as follows: The experimental group who participated in the career exploration education felt less job-seeking anxiety, improvement in career maturity and Career decision-making. Second, the experimental group who participated in the career exploration education showed. Third, the experimental group who participated in the career exploration education showed improvement in.

• Journal of Family Resource Management and Policy Review
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• v.15 no.4
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• pp.169-188
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• 2011

The primary focus of this study was on the issues associated with family and economic decision-making, in particular for the elderlyhood which might have to (or could be) share the family resources. This study regarded willingness to consider applying for Reverse Mortgage as an economic decision-making. The data was collected by interviewing 320 persons (over age 55) living in metropolitan areas in 2008. We selected 227 cases to find the influence of family, having both spouse and adult-children. We have used a theory of Planned Behavior by Fishbein to analysis three research questions. The results are as follows : first, the results partially explain willingness to consider applying for reverse mortgage using Fishbein's theory. Second, several results indicated that economic decision-makings within the family are influenced by several factors relating to other family member's view. They means that some of Subjective Norm variables, of Attitude Behavior ones, and of Perceived Behavior Control ones. Third, the result shows men and women respond differently to consider to applying for that policy. Men are conscious of the other people, i.e., friends, relatives except close family members, and, on the other hand, women are mindful of close family members, i.e., adult children. Forth, the group who have lower income showed higher intentions to consider that policy, when they have adult-children. Fifth, according to age group, pre-elderly group are influenced by consent of adult-children, a level of education, and on the other hand, elderly group are influenced by the other people, i.e., friends, relatives, a level of education, and so on. These results meaned that these distinct characteristics should be considered to establish Income Security policy for the pre-elderly and the elderly.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.1
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• pp.42-50
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• 2006

The multi-criteria group decision making (MCGDM) problem is to determine the best compromise solution in a set of competing alternatives that are evaluated under conflicting criteria by decision maker (DM)s. In this paper, we propose a mixed-integer programming (MIP) model to solve MCGDM. The existing method based on minimizing a distance measure such as Median Approach can not guarantee the best compromise solution because the element of median point vector is defined with respect to each criteria separately. However, by considering all criteria simultaneously, we generate median point that is better for locating the best compromise solution. We also utilize the concept of spatial dispersion index (SDI) to produce a threshold value, which is used as a guideline to choose either the Utopian Approach or the Median Approach. And we suggest using CBITP (Convex hull of individual maxima Based Interactive Tchebycheff Procedure) to provide DMs with various Pareto-optimal solutions so that DMs have broad range of selection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.