• International Journal of Quality Innovation
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• 제2권1호
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• pp.20-29
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• 2001

In this paper, the same distribution principle is developed based on the studies with many years for short run processes. The quality control philosophy and background of the principle are introduced. Some implementing techniques for the principle are presented, and application cases both in industry and evaluation & decision-making areas are shown.

• 한국환경교육학회지:환경교육
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• 제20권1호
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• pp.42-61
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• 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).

• 복식문화연구
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• 제22권1호
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• pp.55-72
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• 2014

The purpose of this study is to identify the key decision-making variables that lead fashion company employees to participate in the fashion education programs offered by university lifelong education centers. This study also examined the education satisfaction level and preferred education method and evaluated a university lifelong education program by surveying a fashion company employees who completed a fashion education program. As decision making variables, this study included participation purposes, obstacles, and evaluation criteria. While questionnaires were used to identify the decision making variables, education satisfaction level, and preferred education method, focus group interviews were used to evaluate the university lifelong education program. The findings showed that the respondents enrolled in the program mostly because of personal motivations and considered the workload and time limitation as participating obstacles. They considered educational content as the most important evaluation criteria for participating in the program and were highly satisfied with the program they completed. This study suggests how university lifelong education centers may structure their fashion education programs to better appeal to the employees of fashion companies.

• 정보보호학회논문지
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• 제25권6호
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• pp.1607-1620
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• 2015

서버 Privilege 계정은 법규에 따라 운영 되어야 한다. 그러나 농협은 서버 Privilege 계정 운영에 대한 법규 미준수와 운영 미흡으로 서버의 모든 데이터가 삭제되는 농협 전산망 해킹 사건이 발생하였다. 본 연구에서는 금융회사의 서버 Privilege 계정 운영방식을 결정하기 위한 모델을 제시하기 위해 금융회사의 Privilege 계정 운영 현황을 조사하여 문제점을 도출하고, 개선방안을 제시한다. 또한, Privilege 계정 운영현황 조사를 통해 선정된 평가요인은 AHP(Analytic Hierarchy Process)를 사용하여 의사결정 모델과 공식을 제시하고 검증한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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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.

• Earthquakes and Structures
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• 제3권5호
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• pp.695-717
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• 2012

Seismic resiliency of new buildings has improved over the years due to better seismic codes and design practices. However, there is still large number of vulnerable and seismically deficient buildings. It is not economically feasible to retrofit and upgrade all vulnerable buildings, thus there is a need for rapid screening tool. Many factors contribute to the damageability of buildings; this makes seismic evaluation a complex multi-criteria decision making problem. Many of these factors are noncommensurable and involve subjectivity in evaluation that highlights the use of fuzzy-based method. In this paper, a risk-based framework earlier proposed by Tesfamariam and Saatcioglu (2008a) is extended using Fuzzy-TOPSIS method and applied to develop an evaluation and ranking scheme for steel buildings. The ranking is based on damageability that can help decision makers interpret the results and take appropriate decision actions. Finally, the application of conceptual model is demonstrated through a case study of 1994 Northridge earthquake data on seismic damage of steel buildings.

• 산업경영시스템학회지
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• 제30권3호
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• pp.158-164
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• 2007

Supply Chain Management (SCM) system is a critical investment that can affect the competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper presents the characteristic factors of SCM system and a Fuzzy AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. This study focuses on quantitative factors, applying the fuzzy concept to various evaluative factors. The proposed model can systematically construct the objectives of SCM system selection to achieve the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.7-11
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• 2024

In the era of the 4th Industrial Revolution, new technologies such as artificial intelligence, big data, cloud, Internet of Things, and blockchain are being developed and applied to new industries. Blockchain has the characteristics of decentralization, security, and transparency, so it can serve as a core technology for developing new growth industries. Blockchain is provided as BaaS (Blockchain as a Service), but it is not easy for users who are introducing or building blockchain to choose BaaS. In this study, we identify evaluation factors and develop a decision-making model using fuzzy theory and AHP for BaaS selection. Eventually we aim to help companies choose the best BaaS and develop and commercialize blockchain-based services by developing a new decision-making model for BaaS selection.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.838-840
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• 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.

• Spatial Information Research
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• 제9권1호
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• pp.91-105
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• 2001

이 연구에서는 도시공원의 입지결정에 관련된 행정 업무의 효율성과 의사결정의 질향상을 위하여, GIS와 의사결정 분석기법이 통합된 의사결정 지원시스템을 구축하고자 하였다. 이 시스템은 현황분석, 대안생성, 대안평가에 이르는 일련의 과정을 일관성있는 시스템환경 하에 통합하여 효율적인 관리과정을 제공하고 있다. 도시공원 입지결정을 위하여 형평성, 효율성, 수혜인구, 동별공원비율, 지가, 지장물, 녹지연계성 등의 기준이 적용되었고, 단계별 특성에 따라 MAUT, AHP, ELECTRE 등의 다양한 의사결정 분석기법들이 접목되었으며, GIS를 이용한 다양한 공간분석 기능과 의사결정 과정을 시각적으로 확인할 수 있는 기능들이 개발되었다. 이 시스템은 향후 도시공원 관리기능을 포함하여 종합적인 도시공원 관리시스템으로 발전될 수 있으며, 연구과정에서 개발된 방법론들은 도시공원뿐 아니라 기타 도시시설의 입지결정에도 활용될 수 있을 것이다.