• Title/Summary/Keyword: Multiple Criteria Analysis

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Principles of Environmental Economic Analysis for Evaluating Low Input Agriculture (저투입 농업의 환경경제적 평가방법론에 관한 소고)

  • Kwon, Yong Dae
    • Korean Journal of Agricultural Science
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    • v.26 no.1
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    • pp.100-108
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    • 1999
  • This paper reviews some methods on evaluating the impacts of low input farming on profitability, environments and human health. Measuring diverse effects of low input farming on the environmental economic aspects of agriculture poses a challenge because of difficulty in placing the objective value judgement on those impacts. This Study attempts to identify the individual attributes of low input agriculture and to examine the method of consturcting a simple index after assessing its marketed or non-marketed values in numerical terms. Validity of integrating socio-economic value of low input agriculture, which might be measured by multiple criteria approach, into a single index can be criticized. However, it might be meaningful in that this study suggest the guidance for how to assess the environmental and economic value of low input agriculture by single criteria and the possibility of overcoming the controversial subjectivity in weighing the different impact criteria.

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COTS Component Quality Evaluation Using AHP

  • Oh Kie Sung
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.712-716
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    • 2004
  • Because of rapid development of software technology, a number of software professionals have been concerned with component-based development methodologies. Up to date, the evaluation of component quality has been focused on object-oriented metric based methodology. But this paper presents the selection process and evaluation criteria based on an MCDM(Multiple Criteria Decision Making) technique for the selection of optimal COTS component from consumers' viewpoints. We considered functionality, efficiency and usability based on ISO/IEC 9126 for quality measurement and conducted practical analysis into commercial EJB component in internet. This paper shows that the proposed selection technique is applicable for the selection of the optimal COTS component.

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Classification of the Analytic Hierarchy Process Approaches by Application Circumstances

  • Yoon, Min-Suk;Kinoshita, Eizo
    • Management Science and Financial Engineering
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    • v.16 no.1
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    • pp.17-46
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    • 2010
  • This paper studies six different AHP (Analytic Hierarchy Process) approaches and suggests that the features of the approaches are classified by application circumstances in order to contribute to the applicability and quality usage of the AHP. Our study investigates the hierarchical principles and characteristics of the AHP, and historical debates on the AHP evaluation in which the six approaches have been involved. One of six approaches is an ANP (Analytic Network Process) application that is directly connected to AHP usage. The application differences among the six approaches are validated with a plain example. Then, the four circumstances of AHP applications are classified by two dimensions: the first dimension is whether or not the importance (weights) of criteria is independent of restrictively setting alternatives, and the second dimension is whether or not preference (priorities) of alternatives is independent of adding alternative(s) to or removing alternative(s) from the considering set of alternatives. Then featuring way of weighting criteria is classified. We suggest the distinguishing manners and describe the implications of the AHP application. Finally, we discuss rank reversal and multiplicative AHP.

A Study of Quantitative Evaluation Indicators on Residential Units in Multiple Stock Housing based on Space Composition Types (공동주택 단위주호의 공간구성유형에 따른 정량적 평가지표에 관한 연구)

  • Lee, Byeongho;Lee, Geonwon;Yeo, Youngho
    • KIEAE Journal
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    • v.10 no.5
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    • pp.43-55
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    • 2010
  • This research investigated 162 residential unit plans which were located in Seoul and Gyonggi Province ranging from 58 to $118m^2$ unit net area recently. Through the investigation of unit plans, a matrix was developed based on the 5 criteria for space composition types. 5 criteria are building stock types, W/D ratio of units, unit net area, number of bay to the main orientation, and openness types. After review the matrix, 10 typical unit types were selected. At the same time, quantitative evaluation indicators were developed based on the 4 criteria such as efficiency, openness, flexibility, environmental sustainability. On each criterion, 3 indicators were developed, and measured on 162 residential unit plans. Firstly, correlation analysis were pursued on 5 criteria for space composition types and 12 quantitative evaluation indicators, and reviewed on each other. Finally, quantitative evaluation indicators of 10 typical unit types were displayed on radar charts in order to show the integrated evaluation on 4 criteria such as efficiency, openness, flexibility, environmental sustainability. From the reviews and radar chart analyses, advantages, disadvantages, and improvements on each typical unit type were presented as research results.

Efficiency evaluation of water leakage management methods in local small and medium cities (지방중소도시의 누수관리방법에 대한 효율성 평가)

  • Hwang, Jinsoo;Choi, Taeho;Kim, Kibum;Koo, Jayong
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.2
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    • pp.121-133
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    • 2021
  • This study set up the estimates of leakage management efficiency evaluation and leakage management goal that could be used in local water distribution networks efficiency business and modernization business. The data were analyzed using data envelopment analysis and multiple regression analysis. To this end, with leakage management input indices concerning leakage reduction activities (e.g., aged pipe replacement, water meter replacement, leakage restoration, and leakage detection) and leakage management calculation indices (e.g., the increase of revenue water ratio and the reduction of leakage ratio), the data on 22 K-water consignment local water supply systems were analyzed for the years from 2004 through 2018. Using the results of efficiency analysis by data envelopment analysis, the other DMUs (Decision Making Unit) benchmarked the DMU with the highest efficiency to maximize the leakage management efficiency for all DMUs. Through this, leakage management goal estimates were drawn with the input indices of four leakage reduction activities and calculation indices of the increase of revenue water ratio and the reduction of leakage ratio by multiple regression analysis for each group based on the revenue water ratio and leakage ratio. The correlation coefficients of the leakage management goal estimate for the criteria for the revenue water ratio amounted to 0.553 and 0.771. The correlation coefficients of the leakage management goal estimate for the criteria for leakage ratio were 0.397 and 0.865. Accordingly, we estimated the quantity and priority of four leakage reduction activities for the target leakage ratio and revenue water ratio.

Characteristic Mode Analysis and New Ground Approach At a Heat-sink for Reducing EM Radiation

  • Son, Seung-Han;Ahn, Chang-Hoi
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.379-386
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    • 2018
  • A heat-sink has been widely used to cool down the heat generated from an electronic device, but it can bring unwanted electromagnetic radiation which may cause EMI problems. We propose a systematic method to reduce the electromagnetic radiation by using the multiple grounding technique based on the grounding criteria and the theory of characteristic mode analysis. Our proposed method provides the insight to find the specific grounding positions which can be effectively reduced the radiation from the heat-sink. Numerical experiments are accomplished to validate this approach.

Survey Study: How Customer Attributes and Menu Selection Criteria are Related to Customer Support for Menu Labeling (레스토랑 메뉴의 영양정보공개 지지도에 따른 메뉴선택속성 및 소비자 특성에 관한 연구)

  • Kim, Sun-Joo;Cho, Meehee
    • Journal of the Korean Society of Food Culture
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    • v.29 no.3
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    • pp.231-239
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    • 2014
  • We studied customer recognition and understanding of menu labeling as well as the correlations between customer support for menu labeling and multiple factors, such as demographic characteristics, dinning-out behavior, and menu selection criteria. This study designed a survey and received responses from 351 individuals. The analysis results reveal that most respondents did not acknowledge menu labeling or lacked knowledge of it. Many of the respondents showed experience in ordering from menus with ingredient labels, but many showed no interest in menu labeling. Exactly 114 (32.5%) respondents showed support of menu labeling, and most were interested in levels of trans-fat, fat, and cholesterol. The respondents reported that menu labeling should be implemented more in fast-food restaurants and causal dinning restaurants. This study also analyzed how customer menu selection criteria are related to support level of menu labeling. Respondents were classified into three groups based on their support level for menu labeling (low medium high), after which correlations between customer menu selection criteria and support level were examined. Respondents in the high support group considered all menu selection criteria (i.e., ingredients, health, and consideration of calories). GLM analysis showed that monthly dining-out expenses were highly related to support level with a significance level of 0.05, and the interaction between monthly dining-out expenses and respondents' jobs also affected support level with a significance level of 0.01.

Consumer Dissatisfaction Factors and Purchase Behaviors of Backpacks

  • Kim, Mi-Sook;Kim, So-Young
    • The International Journal of Costume Culture
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    • v.3 no.2
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    • pp.147-160
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    • 2000
  • The purposes of the present study were to investigate the factors of consumer dissatisfaction with backpacks and to examine if the levels of dissatisfaction with the factors differ significantly among the groups determined by demographic characteristics and purchase behaviors. The differences in the purchase behaviors of backpacks were also tested among the groups determined by demographic characteristics. Data collection was consisted of two pilot tests and the final test. The questionnaire was distributed to 40 students of universities in Seoul from July 1 to 13 in 2000 and 351 were usable. Data were analyzed by factor analysis, t-test, χ²analysis, MANOVA, ANAOVA, Duncan's multiple range tests using SPSS PC/sup +/ Program. Five factors were formulated : durability, ease-of-care/color fastness, dimensional stability, wearability and design. Subjects were most dissatisfied with the dimensional stability of backpacks. Different demographic characteristics and purchase behaviors resulted in significantly different levels of dissatisfaction with selected factors. Significant differences were also found in selected selection criteria and purchase behaviors among groups determined by some demographic characteristics.

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Torsional parameters importance in the structural response of multiscale asymmetric-plan buildings

  • Bakas, Nikolaos;Makridakis, Spyros;Papadrakakis, Manolis
    • Coupled systems mechanics
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    • v.6 no.1
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    • pp.55-74
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    • 2017
  • The evaluation of torsional effects on multistory buildings remains an open issue, despite considerable research efforts and numerous publications. In this study, a large number of multiple test structures are considered with normally distributed topological attributes, in order to quantify the statistically derived relationships between the torsional criteria and response parameters. The linear regression analysis results, depict that the center of twist and the ratio of torsion (ROT) index proved numerically to be the most reliable criteria for the prediction of the modal rotation and displacements, however the residuals distribution and R-squared derived for the ductility demands prediction, was not constant and low respectively. Thus, the assessment of the torsional parameters' contribution to the nonlinear structural response was investigated using artificial neural networks. Utilizing the connection weights approach, the Center of Strength, Torsional Stiffness and the Base Shear Torque curves were found to exhibit the highest impact numerically, while all the other torsional indices' contribution was investigated and quantified.

Severity Prediction of Sleep Respiratory Disease Based on Statistical Analysis Using Machine Learning (머신러닝을 활용한 통계 분석 기반의 수면 호흡 장애 중증도 예측)

  • Jun-Su Kim;Byung-Jae Choi
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.2
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    • pp.59-65
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    • 2023
  • Currently, polysomnography is essential to diagnose sleep-related breathing disorders. However, there are several disadvantages to polysomnography, such as the requirement for multiple sensors and a long reading time. In this paper, we propose a system for predicting the severity of sleep-related breathing disorders at home utilizing measurable elements in a wearable device. To predict severity, the variables were refined through a three-step variable selection process, and the refined variables were used as inputs into three machine-learning models. As a result of the study, random forest models showed excellent prediction performance throughout. The best performance of the model in terms of F1 scores for the three threshold criteria of 5, 15, and 30 classified as the AHI index was about 87.3%, 90.7%, and 90.8%, respectively, and the maximum performance of the model for the three threshold criteria classified as the RDI index was approx 79.8%, 90.2%, and 90.1%, respectively.