• 제목/요약/키워드: Multi-attribute Decision Making

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글로벌 협업 전자상거래를 위한 유사상품 탐색 알고리즘

  • 최상현;조윤호
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2004년도 추계학술대회
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    • pp.211-220
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    • 2004
  • This paper suggests a collaborative business process between the companies that each has a restricted physical branch in its own area and wants to extend globally sales and delivery service. The companies integrate their business processes for sales and delivery using a shared product taxonomy table. We also suggest a similar product finding algorithm to make the product taxonomy table that defines product relationships to exchange them between the companies. The main idea of the proposed algorithm is using a multi-attribute decision making (MADM) to find the utility values of products in a same product class of the companies. Using the values we determine what products are similar. It helps the product manager to register the similar products into a same product sub-category. The companies then allow consumer to shop and purchase the products at their own residence site and deliver them or similar products to another sites.

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A New Constrained Parameter Estimation Approach in Preference Decomposition

  • Kim, Fung-Lam;Moy, Jane W.
    • Industrial Engineering and Management Systems
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    • 제1권1호
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    • pp.73-78
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    • 2002
  • In this paper, we propose a constrained optimization model for conjoint analysis (a preference decomposition technique) to improve parameter estimation by restricting the relative importance of the attributes to an extent as decided by the respondents. Quite simply, respondents are asked to provide some pairwise attribute comparisons that are then incorporated as additional constraints in a linear programming model that estimates the partial preference values. This data collection method is typical in the analytic hierarchy process. Results of a simulation study show the new model can improve the predictive accuracy in partial value estimation by ordinal east squares (OLS) regression.

EGEAS 모형을 활용한 전략적 전원개발 계획 (Strategic Electricity Resource Planning using EGEAS Model)

  • 권영한;김창수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.144-147
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    • 1993
  • The long-term electricity resource planning of electric utility has undergone significant change during the past decade. The current resource planning can be considered as multi-objective decision making procedure under the various uncertainties such as demand growth, construction cost, fuel price, environmental regulation, plant site, financial adequacy, new technology advent and so on. This paper presents a standardized electricity resource planning scheme using the strategic planning concept. EGEAS computer model was fully applied to indentify feasible alternative plans and simulate various attribute values corresponding each alternative plan and future. As a case study, a hypothetical long-ten capacity expansion planning problem is analyzed.

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물류관리 시스템 선정을 위한 다기준 의사결정 (The Selection of a Material Handling Systems using Multi-Attribute Decision Making)

  • 정상윤;하승철;황문영
    • 산업경영시스템학회지
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    • 제18권33호
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    • pp.45-53
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    • 1995
  • The Purpose of this paper is to describe and demonstrate a quantitative procedure for evaluating alternative material handling systems that are being considered for possible purchase. The procedure considers both quantitative factors(i.e. costs) and qualitative factors(i.e. equipment productivity) that should be considered in the evaluation process. Since these factors are not always quantifiable it is necessary that the procedure be able to quantify all factors in commensurable units. This is accomplished via a modification of the Brown and Gibson model for facility site location and selection. The model was demonstrated via a case example that encompassed the derivation of performance measures for three material handling systems.

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연구개발 조직의 통합적 성과평가 체계에 관한 연구 (A Study on the Integrated Performance Measurement Framework for R&D Organization)

  • 이영찬;정민용;정선호
    • 한국산업경영시스템학회:학술대회논문집
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    • 한국산업경영시스템학회 2002년도 춘계학술대회
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    • pp.113-118
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    • 2002
  • Research and Development(R&D) was once considered to be a unique, creative and unstructured process that was difficult, if not impossible, to manage and control. R&D decisions impact the entire enterprise. Therefore, decisions must not be based solely on R&D's perception of what is important or worthwhile. R&D contributions are difficult to measure separately from other functional organizations such as manufacturing and marketing. While some firms are attempting to overcome perceived limitations in traditional accounting-based performance measures using ROI, EVA, others are embracing the use of non-financial measures for decision making and performance evaluation. In particular, many firms are implementing 'Balanced Scorecard(BSC)' systems that supplement traditional accounting measures with non-financial measures focused on at least three other perspectives-customers, internal business processes, and learning and growth. AHP is a popular multi-attribute decision making model that allows for the development of importance rankings. The AHP has been applied in a wide variety of practical settings to model complex decision problems. The former, determine Perspectives and the Key Performance indicator(KPI) through the former research, the latter compose the questionnaire for determine the weight of perspectives and KPIs. And then, make a survey with researchers about 4 perspectives and 18 KPIs. The results will be simulate with Expert Choice 2000 for determine the weights. This results helps establish the firm's business strategy and technology strategy The firm should establish the business strategy to consider market position, business growth potential, and technological capabilities.

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A New Route Guidance Method Considering Pedestrian Level of Service using Multi-Criteria Decision Making Technique

  • Joo, Yong-Jin;Kim, Soo-Ho
    • Spatial Information Research
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    • 제19권1호
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    • pp.83-91
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    • 2011
  • The route finding analysis is an essential geo-related decision support tool in a LBS(Location based Services) and previous researches related to route guidance have been mainly focused on route guidances for vehicles. However, due to the recent spread of personal computing devices such as PDA, PMP and smart phone, route guidance for pedestrians have been increasingly in demand. The pedestrian route guidance is different from vehicle route guidance because pedestrians are affected more surrounding environment than vehicles. Therefore, pedestrian path finding needs considerations of factors affecting walking. This paper aimed to extract factors affecting walking and charting the factors for application factors affecting walking to pedestrian path finding. In this paper, we found various factors about environment of road for pedestrian and extract the factors affecting walking. Factors affecting walking consist of 4 categories traffic, sidewalk, network, safety facility. We calculated weights about each factor using analytic hierarchy process (AHP). Based on weights we calculated scores about each factor's attribute. The weight is maximum score of factor. These scores of factor are used to optimal pedestrian path finding as path finding cost with distance, accessibility.

Quality Driven Approach for Product Line Architecture Customization in Patient Navigation Program Software Product Line

  • Ashari, Afifah M.;Abd Halim, Shahliza;Jawawi, Dayang N.A.;Suvelayutnan, Ushananthiny;Isa, Mohd Adham
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권7호
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    • pp.2455-2475
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    • 2021
  • Patient Navigation Program (PNP) is considered as an important implementation of health care systems that can assist in patient's treatment. Due to the feasibility of PNP implementation, a systematic reuse is needed for a wide adoption of PNP computerized system. SPL is one of the promising systematic reuse approaches for creating a reusable architecture to enabled reuse in several similar applications of PNP systems which has its own variations with other applications. However, stakeholder decision making which result from the imprecise, uncertain, and subjective nature of architecture selection based on quality attributes (QA) further hinders the development of the product line architecture. Therefore, this study aims to propose a quality-driven approach using Multi-Criteria Decision Analysis (MCDA) techniques for Software Product Line Architecture (SPLA) to have an objective selection based on the QA of stakeholders in the domain of PNP. There are two steps proposed to this approach. First, a clear representation of quality is proposed by extending feature model (FM) with QA feature to determine the QA in the early phase of architecture selection. Second, MCDA techniques were applied for architecture selection based on objective preference for certain QA in the domain of PNP. The result of the proposed approach is the implementation of the PNP system with SPLA that had been selected using MCDA techniques. Evaluation for the approach is done by checking the approach's applicability in a case study and stakeholder validation. Evaluation on ease of use and usefulness of the approach with selected stakeholders have shown positive responses. The evaluation results proved that the proposed approach assisted in the implementation of PNP systems.

적기의 위협 평가 자동화를 위한 퍼지 규칙 방법론 (Fuzzy Rule-Based Method for Air Threat Evaluation)

  • 최병주;김지은;김진수;김창욱
    • 한국군사과학기술학회지
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    • 제19권1호
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    • pp.57-65
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    • 2016
  • Threat evaluation is a process to estimate the threat score which enemy aerial threat poses to defended assets. The objective of threat evaluation is concerned with making an engagement priority list for optimal weapon allocation. Traditionally, the threat evaluation of massive air threats has been carried out by air defence experts, but the human decision making is less effective in real aerial attack situations with massive enemy fighters. Therefore, automation to enhance the speed and efficiency of the human operation is required. The automatic threat evaluation by air defense experts who will perform multi-variable judgment needs formal models to accurately quantify their linguistic evaluation of threat level. In this paper we propose a threat evaluation model by using a fuzzy rule-based inference method. Fuzzy inference is an appropriate method for quantifying threat level and integrating various threat attribute information. The performance of the model has been tested with a simulation that reflected real air threat situation and it has been verified that the proposed model was better than two conventional threat evaluation models.

금강하구의 환경가치 평가 (Assessment of the Environmental Value of the Geum-river Estuary)

  • 권영주;유승훈;박세헌
    • 해양환경안전학회지
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    • 제19권5호
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    • pp.417-429
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    • 2013
  • 본 연구는 금강 하구 관리에 대한 합리적 결론을 도출하기 위하여 하구의 환경가치를 추정하였다. 추정 방법은 하구의 세부적인 속성을 평가하기 위하여 다속성 효용이론에 근거한 조건부 가치측정법을 적용하였다. 또한 하구 인근지역(전북, 충남) 400가구와 전국 13개 광역지자체(전북, 충남, 제주도 제외)지역 600가구를 무작위로 추출하여 일대일 개별면접을 통해 금강 하구 관리방안에 대해 얼마나 지불할 의사가 있는지를 조사하였다. 응답자들은 전반적으로 조건부 시장을 잘 받아들였으며, 가구당 연 평균 지불의사액은 금강하구 인근지역의 경우 1,497원, 전국 13개 광역지자체 지역의 경우 4,343원으로 분석되어 지역에 따라 큰 차이가 났다. 이 값을 해당 지역의 모집단으로 확장한 결과, 각각 연간 21.3억 원 및 701.5억 원이었다. 이러한 정량적인 값은 금강 하구관리 정책에 대한 합리적인 의사결정에 유용한 자료로 활용될 수 있을 것이다.

상관 다기능 저류지 조성의 경제적 편익 평가(II): 레크리에이션용수 공급편익을 중심으로 (Assessment of Economic Value of Sangkwan Multi-Purpose Reservoir (II): Benefits of Recreational Water)

  • 이주석;류문현;유승훈
    • 한국수자원학회논문집
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    • 제46권10호
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    • pp.997-1004
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    • 2013
  • 물에 대한 기능 중 레크리에이션 기능은 빼놓을 수 없는 중요한 기능중의 하나이다. 그러나 레크리에이션 편익에 대한 정량적 연구는 매우 미흡한 실정이다. 이에 본 연구는 실험선택법을 적용하여 레크리에이션 편익을 추정하고자 한다. 레크리에이션과 관련된 몇 개의 속성과 가격속성으로 이루어진 여러 개의 대안 중에서 선호하는 한 가지를 응답자로 하여금 선택하게 함으로서 개별 속성에 대한 한계지불의사액(MWTP) 정보를 도출한다. 분석결과 레크리에이션 용수 10,000톤의 추가적인 확보에 대해 각 가구는 연간 3원의 MWTP를 갖는 것으로 추정되었다. 또한 레크리에이션 용수의 수질을 1등급 개선시게 되면 각 가구는 연간 645.5원의 MWTP를 갖는 것으로 분석되었다. 아울러 레크리에이션 시설의 추가적인확보에 대해 각 가구는 연간 1,518.6원의 MWTP를 가졌다. 이와 같은 정량적 정보는 다기능 저류지 조성 여부와 관련된 의사결정에서 유용한 정보로 활용될 수 있을 것이다.