• Journal of Korean Institute of Industrial Engineers
• /
• v.38 no.1
• /
• pp.57-66
• /
• 2012

The paper deals with the development of a model for group decision making under multiple criteria. The Multi-criteria group decision making (MCGDM) is the process to determine the best compromise solution in a set of competing alternatives that are evaluated by decision makers having their own preferences on conflicting objectives. For MCGDM, we propose a Mixed-Integer Programming (MIP) model that implements a revised median approach by noticing that the original median approach cannot consider the willingness to reject and the indifferent preference conditions. The proposed MIP model tries to select a common best Pareto-optimal solution by maximizing the overall desirability considering the willingness to reject and the indifferent preference that represent the tolerance measure of each decision maker. To evaluate the effectiveness of the proposed model, we compared the results of the proposed model with those of the median approach. The results showed that the proposed MIP model produces more realistic and better compromised alternative by incorporating the decision maker's willingness to reject and the indifferent preferences over each criteria.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1994.10a
• /
• pp.255-255
• /
• 1994

• The Journal of Korean Academic Society of Nursing Education
• /
• v.18 no.3
• /
• pp.393-402
• /
• 2012

Purpose: This study was conducted to test the effect of a Career Search Program on career search efficacy, career search behavior, and career decision making for nursing students. Methods: A non-equivalent pre-post test of a quasi-experimental design was used. Fifty first grade nursing students participated in the study with 22 in the experimental group and 28 in the control group. We used a Career Search Program which was held 6 times over 6 weeks, 90 minutes per session. Descriptive statistics, ${\chi}^2$-test, and independent t-test were used for statistical analysis with SPSS 19.0. Results: There were significant increases in career search efficacy (t=2.07, p=.044) and career search behavior(t=2.65, p=.011) in the experimental group compared to the control group. However, career decision making was not significantly changed (t=0.96, p=.342). Conclusion: These results suggest that a Career grade Search Program has an effect on increasing career search efficacy and career search behavior in first grade nursing students. In addition, more programs to impact career decision making should be developed for nursing college students.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.22 no.3
• /
• pp.308-317
• /
• 2015

Purpose: The aim of this study was to examine the effects of case-based learning (CBL) on clinical decision making and nursing performance. Methods: This research was conducted between September, 2011 and January, 2012 as a nonequivalent comparison group design. The participants were 55 third year nursing students who were enrolled in a college of nursing in a university in Korea. The intervention was the CBL procedures which involved role-play practice videoed by camera and watched on the computer by the students. Questionnaires were used before and after the intervention to measure clinical decision-making. Nursing performance tests were done after the intervention. Results: Statistically significant group differences were observed in clinical decision-making. Nursing performance was significantly higher in the CBL group than in the control group. Conclusion: CBL focused on the solving problem process and clinical cases which are based on clinical setting allowing students to develop efficiency in clinical practice and adaptation to the clinical situation.

• The Journal of Information Technology
• /
• v.3 no.1
• /
• pp.45-59
• /
• 2000

This study evaluates empirically differences of performance in the two types of the decision-making. There exist implied noises in the information but consensus mitigates or clears noises from available information in the decision-making process. Decision-making peformance depends on information quality. Therefore the higher quality information are used, the more peformance decision-makers have. The results of this study shows that group decision-making is better than individual in decision making performance. It indicates that consensus mitigates or clears noises in the information. As variant individuals, however, have different performance, individual decision-makers also have different ability in analyzing information.

• Hwankyungkyoyuk
• /
• v.20 no.1
• /
• pp.42-61
• /
• 2007

This study investigated the effect of the environmental issue analysis instruction on the decision making ability of middle school students. A pretest-posttest control group design was employed. The participants for the research were 288 1st grade male students in middle school in Seoul, the environmental issue analysis lesson group consisted of 142 members and the non-environmental education group consisted of 146 members. The cognitive level of the students were divided into three groups-concrete, transition, formal-as the result of GALT test. Students take issue analysis lessons during 6 weeks, one lesson per a week. Students had studied through worksheets reconstructed and developed by researcher on basis of issue analysis suggested by Ramsey et al. (1997). The results of the research were followings: After lesson for environmental issue analysis, all of the students were improved in decision-making ability regardless of cognitive level (p<.05). Especially, decision-making ability of the transition group students was improved to a high degree. Scores of searching relevant information, generation of alternatives, identification of values for selection criteria, the evaluation of alternatives' merits and demerits, prediction of consequence were increased in experimental group (p<.05). But the ability of selection of alternatives according to value was not reached statistically meaningful improvement. The decision-making ability of the control group students was not improved but ability of selection of alternatives, the evaluation of consequence were increased (p<.05).

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.2
• /
• pp.265-272
• /
• 2009

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

• The Journal of Fisheries Business Administration
• /
• v.32 no.1
• /
• pp.81-97
• /
• 2001

The main objective of this research is to identify the evaluation criteria of the local governments' projects for the fisheries industry development (LGPFID) and to develop the evaluation software prototype applicable to LGPFID. This research does not try to develop the whole evaluation processes and programs for LGPFID, but just to outline the approach to managing LGPFID. The evaluation processes and programs developed in this study is based on the group decision support systems(GDSS), which is a collaborative, system-oriented, and objective system useful in evaluating LGPFID. Specifically the goals of the programs are to : (1) enhance the quality of evaluation process for LGPFID; (2) provide the local government decision makers' and interest groups' access to comprehensive evaluation information; (3) support private-public collaboration in government's decision making. We used analytic hierarchy process model as a group decision making model and programmed the application software prototype with Visual Basic language.

• Asia pacific journal of information systems
• /
• v.14 no.2
• /
• pp.37-59
• /
• 2004

Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

• Proceedings of the IEEK Conference
• /
• 2002.07b
• /
• pp.838-840
• /
• 2002

Presently, Analytic Network Process which evaluates man's intention and offers decision-making support is capturing the spotlight. It originates in the ability of Analytic Network Process to treat various decision-making support system. However, no detailed reference is available when dealing with the group case. This paper examines the technique, which can also cope with the group decision-making support system, and describes the validity of the technique. A characteristic feature of the proposed technique is that it can detect a group's intention in a given section, and it decomposes the sectional supermatrix into a small supermatrix and a large one. A general supermatrix treats the convergence value by taking the limiting process method of the power of an evaluation value. On the other hand, when a supermatrix has nonnegative value, it can easily be solved by the eigenvector method. The decomposition of the supermatrix has been considered in this work.