• Title/Summary/Keyword: Multi-Criteria

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Analysis of Methodologies for Prioritizing Climate Change Adaptation Measures (기후변화 적응대책 우선순위 선정을 위한 방법론 분석)

  • Chae, Yeora;Jo, Hyun-Ju
    • Journal of Environmental Policy
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    • v.12 no.4
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    • pp.23-44
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    • 2013
  • Climate change affects human and natural environment. Many countries, including Korea, are trying to develop climate change adaptation strategies to minimize adverse impacts of climate change. To deal with climate change efficiently, decisions have to be made among many options. The objectives of this paper is to analyzes methodologies for prioritizing climate change adaptation measures. Each methodology has strength and weakness and information requirements are differ. We find multi-criteria analysis is one of useful tools considering current level of understanding on climate change adaptation. We suggest climate change risks(timing, likelihood, intensity of climate change impacts), feasibility of policy (equity, main-streaming, democracy), effectiveness (economic effectiveness, co-benefits, propagation effects) of adaptation measures as main evaluation criteria of prioritization.

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Monitoring the Use of Health-Related Quality of Life Measurements in Korean Studies of Patients with Diabetes (국내 연구에서 당뇨병 환자 건강관련 삶의 질 측정에 관한 모니터링)

  • Lee, Eun-Hyun;Kim, Chun-Ja;Cho, Soo-Yeon;Chae, Hyun-Ju;Lee, Sun-Hee;Kim, Eun-Jung
    • Journal of Korean Academy of Nursing
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    • v.41 no.4
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    • pp.558-567
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    • 2011
  • Purpose: The purpose of this study was to monitor the use of health-related quality of life (HRQOL) instruments in Korean studies of patients with diabetes. Methods: Of 86 Korean studies initially identified, 17 studies met the inclusion criteria. For each study, a description of the instrument and its psychometric properties were monitored by the Instrument Review Criteria of the Scientific Advisory Committee. These criteria include conceptual definition, attributes, taxonomy, reliability, validity, responsiveness, administrative mode, and language adaptations. Results: Five generic and one diabetes specific type questionnaires were identified from the 17 studies. Of those studies, conceptual definitions with the attributes of multi-dimension and subjectiveness were provided for 11 studies (71%). In the analysis of conceptual taxonomy, only 6 studies were classified as HRQOL, while other studies were done as QOL or health status. In monitoring of psychometric properties, reliability, validity, and responsiveness were reported for 88.2%, 64.7%, and 29.4%, respectively. One generic instrument was developed with a Korean population, while the other instruments were developed for Western countries. However, language adaptations were performed for only a few of the instruments. Conclusion: The psychometric properties including responsiveness of most instruments warrants further research, and the development of diabetes-specific HRQOL measurements should be sought to facilitate intervention outcomes across Korean studies of patients with diabetes.

Systemic lupus erythematosus (전신성 홍반성 루푸스)

  • Kim, Kwang-Nam
    • Clinical and Experimental Pediatrics
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    • v.50 no.12
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    • pp.1180-1187
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    • 2007
  • Systemic lupus erythematosus (SLE) is an episodic, multi-system, autoimmune disease characterized by widespread inflammation of blood vessels and connective tissues and by the presence of antinuclear antibodies (ANAs), especially antibodies to native (double-stranded) DNA (dsDNA). Its clinical manifestations are extremely variable, and its natural history is unpredictable. Untreated, SLE is often progressive and has a significant fatality rate. The most widely used criteria for the classification of SLE are those of the American College of Rheumatology (ACR), which were revised in 1982 and modified in 1997. The presence of four criteria have been diagnosed as a SLE. Rashes are common at onset and during active disease. The oral mucosa is the site of ulceration with SLE. Arthralgia and arthritis affect most children and these symptoms are short in duration and can be migratory. Lupus nephritis may be more frequent and of greater severity in children than in adults. The initial manifestation of nephritis is microscopic hematuria, followed by proteinuria. The most common neuropsychiatric symptoms are depression, psychosis(hallucination and paranoia) and headache. CNS disease is a major cause of morbidity and mortality. Pericarditis is the most common cardiac manifestation. Libman-Sacks endocarditis is less common in children. The most frequently described pleuropulmonary manifestations are pleural effusions, pleuritis, pneunonitis and pulmonary hemorrhage. During the active phase ESR, CRP, gamma globulin, ferritin and anti-dsDNA are elevated. Antibodies to dsDNA occur in children with active nephritis. Antibodies to the extractable nuclear antigens (Sm, Ro/SS-A, La/SS-B) are strongly associated with SLE. Specific treatment should be individualized and based on the severity of the disease. Sepsis has replaced renal failure as the most common cause of death.

The Enhancement Strategy on National Cyber Capability Using Hybrid Methodology of AHP and TOPSIS (AHP와 TOPSIS 융합 방법론을 이용한 국가 사이버 역량 강화 방안)

  • Bae, Sunha;Park, SangDon;Kim, So Jeong
    • Convergence Security Journal
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    • v.15 no.4
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    • pp.43-55
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    • 2015
  • The effective cyber capability assessment methodology does not exist, it's difficult to check the current state of the our country's cyber capabilities and to establish cyber capability enhancement plan based on the result of assessment. The cyber capability assessment is necessary in order to determine the current level of the country, establish policy directions and provide the basis for effective budgeting. But assessment of national cyber capability is multi-criteria decision makink problem. In this paper develops an assessment model based on the AHP and TOPSIS. AHP is used to determine weight of the criteria and TOPSIS method is used to obtain final ranking. We also introduce the result of four major nations cyber capability assessment using the proposed methodology. The experiment used the virtual experimental data. And the result show that the proposed methodology can expand the number of criteria and alternatives for assessment and provide more sophisticated mathematical base for objective assessment comparing methodology using AHP only.

An efficient Decision-Making using the extended Fuzzy AHP Method(EFAM) (확장된 Fuzzy AHP를 이용한 효율적인 의사결정)

  • Ryu, Kyung-Hyun;Pi, Su-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.6
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    • pp.828-833
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    • 2009
  • WWW which is an applicable massive set of document on the Web is a thesaurus of various information for users. However, Search engines spend a lot of time to retrieve necessary information and to filter out unnecessary information for user. In this paper, we propose the EFAM(the Extended Fuzzy AHP Method) model to manage the Web resource efficiently, and to make a decision in the problem of specific domain definitely. The EFAM model is concerned with the emotion analysis based on the domain corpus information, and it composed with systematic common concept grids by the knowledge of multiple experts. Therefore, The proposed the EFAM model can extract the documents by considering on the emotion criteria in the semantic context that is extracted concept from the corpus of specific domain and confirms that our model provides more efficient decision-making through an experiment than the conventional methods such as AHP and Fuzzy AHP which describe as a hierarchical structure elements about decision-making based on the alternatives, evaluation criteria, subjective attribute weight and fuzzy relation between concept and object.

Automated Stacking Crane Dispatching Strategy in a Container Terminal using Genetic Algorithm (유전 알고리즘을 이용한 자동화 컨테이너 터미널에서의 장치장 크레인의 작업 할당 전략)

  • Wu, Jiemin;Yang, Young-Jee;Choe, Ri;Ryu, Kwang-Ryel
    • Journal of Navigation and Port Research
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    • v.36 no.5
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    • pp.387-394
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    • 2012
  • In an automated container terminal, automated stacking cranes(ASCs) take charge of handling of containers in a block of the stacking yard. This paper proposes a multi-criteria strategy to solve the problem of job dispatching of twin ASCs which are identical to each another in size and specification. To consider terminal situation from different angles, the proposed method evaluates candidate jobs through various factors and it dispatches the best score job to a crane by doing a weighted sum of the evaluated values. In this paper, we derive the criteria for job dispatching strategy, and we propose a genetic algorithm to optimize weights for aggregating evaluated results. Experimental results are shown that it is suitable for real time terminal with lower computational cost and the strategy using various criteria improves the efficiency of the container terminal.

Evaluation of Beam-Matching Accuracy for 8 MV Photon Beam between the Same Model Linear Accelerator (동일 기종 선형가속기간 8 MV 광자선에 대한 빔 매칭 정확도 평가)

  • Kim, Yon-Lae;Chung, Jin-Beom;Kang, Seong-Hee
    • Journal of radiological science and technology
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    • v.43 no.2
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    • pp.105-114
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    • 2020
  • This study aimed to assess of beam-matching accuracy for an 8 MV beam between the same model linear accelerators(Linac) commissioned over two years. Two models were got the customer acceptance procedure(CAP) criteria. For commissioning data for beam-matched linacs, the percentage depth doses(PDDs), beam profiles, output factors, multi-leaf collimator(MLC) leaf transmission factors, and the dosimetric leaf gap(DLG) were compared. In addition, the accuracy of beam matching was verified at phantom and patient levels. At phantom level, the point doses specified in TG-53 and TG-119 were compared to evaluate the accuracy of beam modelling. At patient level, the dose volume histogram(DVH) parameters and the delivery accuracy are evaluated on volumetric modulated arc therapy(VMAT) plan for 40 patients that included 20 lung and 20 brain cases. Ionization depth curve and dose profiles obtained in CAP showed a good level for beam matching between both Linacs. The variations in commissioning beam data, such as PDDs, beam profiles, output factors, TF, and DLG were all less than 1%. For the treatment plans of brain tumor and lung cancer, the average and maximum differences in evaluated DVH parameters for the planning target volume(PTV) and the organs at risk(OARs) were within 0.30% and 1.30%. Furthermore, all gamma passing rates for both beam-matched Linacs were higher than 98% for the 2%/2 mm criteria and 99% for the 2%/3 mm criteria. The overall variations in the beam data, as well as tests at phantom and patient levels remains all within the tolerance (1% difference) of clinical acceptability between beam-matched Linacs. Thus, we found an excellent dosimetric agreement to 8 MV beam characteristics for the same model Linacs.

Multi-Criteria Group Decision Making under Imprecise Preference Judgments: Using Fuzzy Logic with Linguistic Quantifier

  • Choi, Duke-Hyun;Ahn, Byeong-Seok;Kim, Soung-Hie
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2005.11a
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    • pp.557-567
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    • 2005
  • 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 are, 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 multiperson 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 interaction 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.

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An Analytic Network Process Model to Select Supplier of Energy Production Facility of a Synthetic Fiber Production Company (화학섬유 제조업의 에너지 설비 공급업체 선정을 위한 네트워크 의사결정 분석 모형)

  • Choi, Hoon;Park, Kyung-Soo;Kim, Jaehee
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.291-298
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    • 2018
  • Supplier selection for energy production facility is a multi-criteria decision-making problem and is of strategic importance for cost efficiency of synthetic fiber production company. The purpose of this paper is to present an approach to select best energy production facility for a synthetic fiber production company. Toward this, we derived criteria to evaluate the energy production facility and develop an Analytic Network Process model to help decision makers set priorities on multiple criteria while considering both qualitative and quantitative aspects of the problem. The application of the proposed approach indicates that it can be successfully applied to facilitate the decision making process for selecting the best supplier of the energy production facility.

Evaluation Criteria and Preferred Image of Jeans Products based on Benefit Segmentation (진 제품 구매자의 추구혜택에 따른 평가기준 및 선호 이미지)

  • Park, Na-Ri;Park, Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.6 s.165
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    • pp.974-984
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    • 2007
  • The purpose of this study was to find differences in evaluation criteria and to find differences in preferred images based on benefits segmented groups of jeans products consumers. Male and female Korean university students participated in the study. Quota sampling method was used to collect the data based on gender and a residential area of the respondents. Data from 492 questionnaires were used in the analysis. Factor analysis, Cronbach's alpha coefficient, cluster analysis, one-way ANOVA, and post-hoc test were conducted. As a result, respondents who seek multi-benefits considered aesthetic criteria(e.g., color, style, design, fit) and quality performance criteria(e.g., durability, ease of care, contractibility, flexibility) more importantly when evaluating and purchasing jeans products. Respondents who seek brand name considered extrinsic criteria(e.g., brand reputation, status symbol, country of origin, fashionability) more importantly than respondents who seek economic efciency. Respondents who seek multi-benefits such as attractiveness, fashion, individuality, and utility tend to prefer all the images: individual image, active image, sexual image, sophisticated image, and simple image when wearing jeans products. Respondents who seek fashion are likely to prefer individual image, and respondents who seek brand name more prefer both individual image and polished image. Mean while, respondents who seek economical efficiency less prefer sexual image and polished image.