• 대한안전경영과학회지
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• 제15권1호
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• pp.249-258
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• 2013

Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.

• 산업경영시스템학회지
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• 제26권4호
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• pp.72-81
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• 2003

The purpose of this paper is to propose an interactive method, which is designed to select the optimal preferred alter-native for the MLDM(Multiple-the Larger-the better type Decision-Making) problems with the-larger-the-better quality characteristics. The basic idea of the paper is essentially to eliminate inefficient alternative based on the concept of Taguchi Signal-to-Noise ratios and the cutting range instead of using UVF(Utility/value Function) on the group of attributes that can be considered importantly by the decision makers. As a result, the method proposed in the paper for MLDM problems can be significant in that the change of characteristics is transformed into the size of Signal-to-Noise ratio, which can be relatively easy to understand by decision makers.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.616-629
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• 2015

A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

• 융합정보논문지
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• 제10권9호
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• pp.62-70
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• 2020

본 연구는 간호학생의 사회적 지지, 진로결정 자기효능감 및 취업스트레스 정도를 파악하고, 취업스트레스에 영향을 미치는 요인을 규명하기 위해 시도된 서술적 조사연구이다. 3개 대학 간호학과 재학 중인 228명을 편의표집하였고, 수집된 자료는 IBM SPSS 21.0 프로그램을 이용하여 기술통계, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient, Multiple Regression으로 분석하였다. 연구 결과 사회적 지지와 진로결정 자기효능감이 높을수록 취업스트레스는 낮게 나타났다. 취업스트레스에 영향을 미치는 요인은 사회적 지지, 첫 희망진로, 취업준비정도, 진로결정 자기효능감 순이었으며, 취업스트레스에 대한 이들 변수의 설명력은 19%로 나타났다. 따라서, 간호학생의 취업스트레스 예방, 대처 및 완화를 위해서는 사회적 지지와 진로결정 자기효능감 증가를 위한 차별화된 취업진로교육 프로그램의 개발 및 적용이 필요하다.

• 융합정보논문지
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• 제12권5호
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• pp.62-70
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• 2022

본 연구는 대학생의 심리적 안녕감과 대인관계 유능성이 대학생의 진로결정자기효능감에 미치는 영향을 파악하고자 시도되었다. 연구 대상자는 대학생 154명이었으며 자료수집은 2019년 11월 1일부터 12월 10일까지 진행하였다. 수집된 자료는 x²-test, t-test, ANOVA, Pearson's correlation coefficients, Stepwise multiple regression을 이용하여 분석하였다. 연구 결과 심리적 안녕감과 대인관계 유능성이 진로결정 자기효능감에 유의한 영향요인으로 나타났고, 이들의 설명력은 41.6%로 나타났다(F=66.48, p<.001). 따라서 대학생의 진로결정자기효능감을 증진시키기 위한 프로그램 개발 및 적용에서 본 연구 결과를 통하여 밝혀진 영향요인인 심리적 안녕감과 대인관계 유능성이 고려되어야 할 것이다.

• 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.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.283-291
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• 2005

The development of mobile applications is fast in recent years. However, nearly all applications are for messaging, financial, locating services based on simple interactions with mobile users because of the limited screen size, narrow network bandwidth, and low computing power. Processing an algorithm for supporting a group decision process on mobile devices becomes impossible. In this paper, we introduce the mobile-oriented simple interactive procedure for support a group decision making process. The interactive procedure is developed for multiple objective linear programming problems to help the group select a compromising solution in the mobile Internet environment. Our procedure lessens the burden of group decision makers, which is one of necessary conditions of the mobile environment. Only the partial weak order preferences of variables and objectives from group decision makers are enough for searching the best compromising solution. The methodology is designed to avoid any assumption about the shape or existence of the decision makers's utility function. For the purpose of the experimental study of the procedure, we developed a group decision support system in the mobile Internet environment, MOBIGSS　and applied to an allocation problem of investor assets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.647-669
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• 2016

Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.

• 대한임베디드공학회논문지
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• 제15권1호
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• pp.25-33
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• 2020

Multipath routing protocols with unmanned aerial vehicles have been proposed to improve reliability in tactical ad hoc networks. Most of existing studies tend to establish the paths with multiple metrics. However, these approaches suffer from link loss and congestion problems according to the network condition because they apply same metric for both ground and air path or employ the simple weight value to combine multiple metrics. To overcome this limitation, in this study, we propose new routing metrics for path over unmanned aerial vehicles and use the multi-criteria decision making (MCDM) method to determine the weight factors between multiple metrics. For the case studies, we extend the ad-hoc on-demand distance vector protocol and propose a strategy for modifying the route discovery and route recovery procedure. The simulation results show that the proposed mechanism is able to achieve high end-to-end reliability and low end-to-end delay in tactical ad hoc networks.

• 한국산학기술학회논문지
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• 제9권2호
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• pp.544-549
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• 2008

교육행정정보시스템(NEIS)은 인터넷을 통하여 학교와 그 상위기관간의 행정 업무를 연계하기 위하여 정부에 의해 주도된 교육 분야의 혁신적 프로젝트이다. NEIS는 교육행정업무에 대한 재설계와 정보화 전략에 따라 행정서식을 표준화하여 교원의 업무를 경감시켜 보다 나은 품질의 교육을 제공하고 온라인을 통해 관련된 교육 문제를 해결하기 위해 도입되었다. 본 논문은 NEIS의 효과적인 활용에 영향을 미치는 요인들을 도출하여 이를 계층화하고, 다중 의사결정기법을 이용하여 핵심요인간의 상대적인 중요도 평가를 통해 NEIS의 효과적인 활용방안을 모색하고자 한다. 분석결과는 NEIS의 사용자들의 만족도 제고와 향후 NEIS의 개선 전략을 개발하는데 유용하게 사용될 수 있다.