• International Journal of Quality Innovation
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• 제8권2호
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• pp.100-114
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• 2007

Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation-enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision-making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

• 한국공간구조학회논문집
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• 제3권2호
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• pp.77-83
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• 2003

This paper presents decision making method of structural multi-objective fuzzy optimum problem. The data and behavior of many engineering systems are not know precisely and the designer is required to design the system in the presence of fuzziness in the multi-goals, constraints and consequences of possible actions. In this paper, in order to find a satisfactory solution, the membership functions are constructed for the fuzzy objectives subject to the fuzzy constraints, and two approaches are presented by using the different types of fuzzy decision making. Thus, multi-objective fuzzy optimum problem can be converted into single objective non-fuzzy optimum problem and satisfactory solution of the multi-objective fuzzy optimum problem can be found with general optimum programming. Illustrative numerical example of the ten bar truss for minimum weight and minimum deflection is provided to demonstrate the process of finding the solution and the results are discussed.

• 한국전자거래학회지
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• 제24권4호
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• pp.1-16
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• 2019

블록체인 기술은 분권화를 통해 투표 과정에서 이루어질 수 있는 부당한 개입과 조작을 방지하여 투표 결과의 신뢰성을 높여 공정한 여론 수렴의 어려움으로 인해 대리 의사결정이 이루어지던 많은 분야에서 직접 의사결정의 가능성을 열어 주었다. 전세계적으로 공공 의사결정에 블록체인 기술을 활용한 투표 시스템을 도입하려는 시도가 이루어지고 있으며, 이는 투명하고 공정한 여론 수렴 채널로 기능하여 공공 의사결정 과정과 지배구조에 큰 변화를 가져올 것으로 기대된다. 최근 스튜어드십 코드를 도입한 국민연금의 경우, 지배구조에 대한 불신으로 인해 스튜어드십 코드 도입 취지와 달리 국민연금 가입자의 이해에 반하는 주주권 행사와 지나친 경영 간섭이 일어날 것이란 우려가 제기 되고 있다. 본 연구에서는 국민연금 사례를 중심으로 가입자 의견 수렴과 공공 의사결정을 위한 블록체인 기술을 응용한 투표 시스템을 제안하고 이를 도입하기 위해 마련되어야 할 사회적 제도적 제반 여건에 대해 논의한다.

• Journal of Preventive Medicine and Public Health
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• 제53권2호
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• pp.117-125
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• 2020

Objectives: This study investigated the role of information and communication technology and women's empowerment in contraceptive discontinuation in Indonesia. Methods: The study used data from the 2017 Indonesia Demographic and Health Survey and monthly contraceptive calendar data. A Gompertz proportional hazards model was used for analysis. Results: The 12-month contraceptive discontinuation rate was higher among women who had used the Internet in the past year, women who were mobile phone owners, and women who reported having fully participated in household decision-making than among their counterparts. These factors significantly impacted the risk of contraceptive discontinuation in Indonesia, even after controlling for contraceptive method, age, parity, contraceptive intent, education, work status, place of residence, and wealth status. Conclusions: After adjustment for the control variables, a higher risk of contraceptive discontinuation was associated with having used the Internet in the past year, owning a mobile phone, and not participating in household decision-making. Higher contraceptive discontinuation risk was also associated with using contraceptive pills, older age, lower parity, intent of spacing births, more education, current unemployment, and rural residence, and the risk was also significantly higher for those in the lowest household wealth quintile than for those in the fourth household wealth quintile. The association of contraceptive discontinuation with the use of modern information and communication technology and relatively disempowerment in household decision-making may imply that information regarding family planning and contraception should be conveyed via social media as part of setting up an eHealth system. This must include a strong communication strategy to empower and educate women in contraceptive decision-making.

• Nuclear Engineering and Technology
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• 제47권5호
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• pp.624-632
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• 2015

A self-diagnostic monitoring system is a system that has the ability to measure various physical quantities such as temperature, pressure, or acceleration from sensors scattered over a mechanical system such as a power plant, in order to monitor its various states, and to make a decision about its health status. We have developed a self-diagnostic monitoring system for an air-operated valve system to be used in a nuclear power plant. In this study, we have tried to improve the self-diagnostic monitoring system to increase its reliability. We have implemented three different machine learning algorithms, i.e., logistic regression, an artificial neural network, and a support vector machine. After each algorithm performs the decision process independently, the decision-making module collects these individual decisions and makes a final decision using a majority vote scheme. With this, we performed some simulations and presented some of its results. The contribution of this study is that, by employing more robust and stable algorithms, each of the algorithms performs the recognition task more accurately. Moreover, by integrating these results and employing the majority vote scheme, we can make a definite decision, which makes the self-diagnostic monitoring system more reliable.

• 대한디지털의료영상학회논문지
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• 제9권1호
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• pp.17-19
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• 2007

This study applies in case of operating an exam using by the contrast order or inputting an order of a contrast media the exam of Radiology Department. It is developed for helping decision making as regards a process of an exam from reading the creatinine value automatically linked with Laboratory Information System. It can be confirmed by real-time information; therefore, the creditability of the information is able to be improved. We will create the base for Patient Monitoring System with the data from the side effect of the creatinine value and allergies. Decision Support System minimize the inconvenience and the riskiness of the given contrast medium for CT tests. We would like to improve medical services by providing a standard circumstance where patients are able to run tests safely and comfortably.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2895-2921
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• 2018

Security has become one of the major concerns in mobile adhoc networks (MANETs). Data and voice communication amongst roaming battlefield entities (such as platoon of soldiers, inter-battlefield tanks and military aircrafts) served by MANETs throw several challenges. It requires complex securing strategy to address threats such as unauthorized network access, man in the middle attacks, denial of service etc., to provide highly reliable communication amongst the nodes. Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats. IDPS in MANET is managed by Command Control Communication and Intelligence (C3I) system. It consists of networked computers in the tactical battle area that facilitates comprehensive situation awareness by the commanders for timely and optimum decision-making. Key issue in such IDPS mechanism is lack of Smart Learning Engine. We propose a novel behavioral based "Smart Multi-Instance Multi-Label Intrusion Detection and Prevention System (MIML-IDPS)" that follows a distributed and centralized architecture to support a Robust C3I System. This protocol is deployed in a virtually clustered non-uniform network topology with dynamic election of several virtual head nodes acting as a client Intrusion Detection agent connected to a centralized server IDPS located at Command and Control Center. Distributed virtual client nodes serve as the intelligent decision processing unit and centralized IDPS server act as a Smart MIML decision making unit. Simulation and experimental analysis shows the proposed protocol exhibits computational intelligence with counter attacks, efficient memory utilization, classification accuracy and decision convergence in securing C3I System in a Tactical Battlefield environment.

• 정보관리연구
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• 제19권1호
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• pp.1-29
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• 1988

본연구(本硏究)는 정보(情報)의 누증(累增)과 사회구조(社會構造)의 다양화(多樣化)로 효율적(效率的)인 정보(情報)의 입수(入手), 처리(處理), 적합(適合)한 정보(情報)의 경제적(經濟的)인 선택(選擇) 등의 직면한 문제를 해결하기 위하여 도움을 줄 수 있는 의사결정지원(意思決定支援)시스템을 주로 다루었다. 의사결정이론(意思決定理論)의 분석(分析)과 그 논의점(論議點) 등을 분석(分析)하여 발전추세(發展趨勢) 점검해 보았고, 실제 의사결정(意思決定)을 지원할 수 있는 지원(支援)시스템을 개발하기 위하여 의사결정(意思決定)의 모델링의 이론(理論)을 조사해서 정보관리(情報管理) 의사결정(意思決定)시스템 개념의 모델을 제시했다. 결론적(結論的)으로 의사결정(意思決定) 구조분석기술(構造分析技術)은 '확율이론(確率理論)과 여러 상황(狀況)의 기회(機會)노드를 연결해서 불확실(不確實)한 상황(狀況)에서 합리적인 의사결정을 수행하기 위한 것이므로 정보가치(情報價値)의 금전적(金錢的)인 기대(期待)값과 기대이윤가치(期待利潤價値)를 산출(算出)하여 정보관리실(情報管理室) 운영(運營)에 필요한 다양한 결정을 유도해낼 수 있을 것이다.

• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.59-73
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• 2010

Along with advance of information technology, value of information is growing much more than ever. And nearly all organizations pay great attentions to information security to protect their own important informations against every kind of hazardous accidents. Therefore, organizations want to select best information security system among many possible alternatives. For this purpose, several fuzzy AHP decision making approaches can be utilized. In this study, we consider a number of qualitative and quantitative factors to evaluate security systems and then apply three fuzzy AHP approaches for simple case to compare the results from three approaches. We find that final decision depends on both fuzzy AHP methods and degree of fuzziness.

• 정보기술응용연구
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• 제1권
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• pp.29-53
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• 1999

의사결정자 지원은 문제 인식, 대안 생성, 최적안 선정 등 협의의 의사결정 지원시스템 (Decision Support System, DSS) 뿐 아니라 의사결정자의 일상업무지원과 의사결정 능력 향상을 위한 교육을 포함한다. 본 논문의 목적은 의사결정자를 지워하기 위한 일종의 광의의 의사결정 지원 시스템인 의사결정자 지원시스템(Decision Maker Support System, DMSS)에 대한 개념적 틀을 제시하는 것이다. DMSS는 전통적인 의사 결정 지원시스템, 업무처리 시스템, 가상교육 시스템 및 이들을 통합 관리하여 특정 의사결정자의 요구에 맞게 구성해 주는 DMSS 관리자를 핵심 요소로 하며 원격의 의사결정자 존재를 생각하여 사용자 인터페이스는 웹 기반을 고려하였다. 특히 DMSS의 하위 시스템의 지식을 통합하기 위해 일원화된 지식베이스를 설계하였다. 그리고 DMSS의 가능성을 보이기 위해 가상 시나리오를 통해 설명하였다.