• 제목/요약/키워드: multi-criteria decision making

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TOPSIS-Based Decision-Making Model for Demolition Method Selection

  • Lee, Hyung Yong;Cho, Jae Ho;Son, Bo Sik;Chae, Myung Jin;Lim, Nam Gi;Chun, Jae Youl
    • Architectural research
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    • 제23권4호
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    • pp.67-73
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    • 2021
  • An efficient demolition process requires the optimum method selection considering stability, economic feasibility, environment, and workability. In reality the construction cost and period are priority concerns, and safe construction methods are neglected. In addition, the choosing demolition method is often determined subjectively by experienced field engineers. This research paper presents a multi-criteria decision-making method using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to select the optimum demolition method. Three experienced demolition engineers' opinions were used to develop the TOPSIS model. The case study showed that the preferences of ten attribute measurements for demolition method selection. Authors suggested the most preferable demolition method for the case study project.

Multi-criteria Vertical Handoff Decision Algorithm Using Hierarchy Modeling and Additive Weighting in an Integrated WLAN/WiMAX/UMTS Environment- A Case Study

  • Bhosale, Sahana;Daruwala, Rohin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권1호
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    • pp.35-57
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    • 2014
  • Multi-criteria decision making (MCDM) algorithms play an important role in ensuring quality of service in an integrated HetNets (Heterogeneous Networks). The primary objective of this paper is to develop a multi-criteria vertical handoff decision algorithm (VHDA) for best access network selection in an integrated Wireless Local Area Network (WLAN)/Universal Mobile Telecommunications System (UMTS)/Worldwide Interoperability for Microwave Access (WiMAX) system. The proposed design consists of two parts, the first part is the evaluation of an Analytic Hierarchy Process (AHP) to decide the relative weights of handoff decision criteria and the second part computes the final score of the weights to rank network alternatives using Simple Additive Weighting (SAW). SAW ranks the network alternatives in a faster and simpler manner than AHP. The AHP-SAW mathematical model has been designed, evaluated and simulated for streaming video type of traffic. For other traffic type, such as conversational, background and interactive, only simulation results have been discussed and presented in brief. Simulation results reveal that the hierarchical modelling and computing provides optimum solution for access network selection in an integrated environment as obtained results prove to be an acceptable solution to what could be expected in real life scenarios.

지능형 소프트웨어 에이전트에 기반한 피크 기간에서의 여행 계획 추천 시스템 (Intelligent Agent-based Travel Planning Recommendation System in Peak Seasons)

  • 임홍순;안형준;김종우;박성주
    • 경영과학
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    • 제21권3호
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    • pp.39-54
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    • 2004
  • This paper presents a multi-agent system for intelligent recommendation of travel plans to users. The goal of the system is to provide alternative and preferable travel plans to users when the availability of tickets is low such as in vacations, holidays, weekends, or peak seasons. The multiple agents in the system search for available alternatives for a target travel in collaboration with other agents and recommend best alternatives by analyzing them using a multi-criteria decision-making model. A prototype online travel support system was constructed and a simulation experiment was performed for evaluation and comparison with different travel planning strategies.

다기준-공간의사결정 지원시스템(MC-SDSS)의 구축과 활용 -폐기물 매립시설 입지분석을 중심으로- (Development a Multi-Criteria Spatial Decision Support System(MC-SDSS) for Analyzing the Suitability of Waste Landfill Sites)

  • 오규식;권오경
    • Spatial Information Research
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    • 제9권2호
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    • pp.227-238
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    • 2001
  • 산업구조가 복잡해지고 생활 수준이 향상됨에 따라 다양한 사회집단의 이익을 고려해야 하는 의사결정 환경으로 변화하고 있다. 특히 폐기물 매립시설의 입지에 대한 의사결정에 있어 발생하는 정부, 주민, 그리고 관련단체간의 갈등은 우리 사회가 당면한 중요한 문제 중 하나이다. 이같은 문제의 해결을 위해 본 연구에서는 다기준-공간의사결정 지원시스템을 구축했다. 사례연구를 통한 시스템의 구축과 활용의 결과, 다음과 같은 유용성을 발견할 수 있었다. 첫째, 입지분석 기준을 체계적이고도 과학적인 의사결정과정에 적용 처리함으로써 최종 의사결정에 대한 다양한 이익집단의 의견을 효과적으로 수렴할 수 있다. 둘째, 민감도 분석을 통해 공간의사결정에서 발생할 수 있는 기술적인 오차-전체 셀 값 분포의 편향-를 최소화 할 수 있다. 셋째, 다기준-공간의사결정 지원시스템을 활용함으로써 특징 이익집단의 반발에 대한 탄력적인 대응도 가능하다.

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보호지역 경계조정을 위한 공간의사결정지원모델 연구 - 지리산 국립공원을 사례로 - (A Study on the Spatial Decision Making Support Model for Protected Areas Boundary (re)Design -A Case of Jirisan National Park-)

  • 성혜정;권혁수;서창완;박종화
    • 한국환경복원기술학회지
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    • 제14권3호
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    • pp.101-113
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    • 2011
  • The purpose of this study are to develop a SDSS (Spatial Decision Support System) that can incorporate diverse opinions of stakeholders related the designation of protected areas (PA), and to employ the model for the readjustment of the boundary line of the Jirisan National Park of Korea. The SDSS would lead to more rational and less controversial decision-making during the expansion or removal of PA in Korea. Research methods are as follows. Firstly, to select evaluation criteria for SDSS for PA designation by using expert interview and literature survey. Secondly, to measure their preferences on the designation of additional PA or the removal of a part of PA based on the opinions of various stakeholders such as local residents, environmental groups, or public officials. Thirdly, to produce conservation priority maps based on a multi-criteria decision making technique. The SDSS would be used to rational decision making for the expansion of PA or the release of a certain part of PA by reflecting diverse preferences on biodiversity conservation and economic interest of residents. The visualization of conservation priority maps would also increase the efficiency of such decision making processes. The evaluation criteria for the expansion of PA for biodiversity conservation includes vegetation conservation value, wildlife conservation value, and the habitats of key species. The evaluation criteria for the removal of PA includes the proximity to roads and the boundary of PA, land use types, and conservation zoning of the PA. Preference weights are based on data collected from the Jirisan National Park. Both the conservation priority and removal priority maps are based on land parcels so that property rights of all parcels would be correctly represented.

TOPIS를 이용한 공급업체 선정과 최적주문량 결정 (Vendor Selection Using TOPSIS and Optimal Order Allocation)

  • 김준석
    • 산업경영시스템학회지
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    • 제33권2호
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    • pp.1-8
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    • 2010
  • A vendor selection problem consists of two different kinds of decision making. First one is to choose the best suppliers among all possible suppliers and the next is to allocate the optimal quantities of orders among the selected vendors. In this study, an integration of the technique for order preference by similarity to ideal solution (TOPSIS) and a multi-objective mixed integer programming (MOMIP) is developed to account for all qualitative and quantitative factors which are used to evaluate and choose the best group of vendors and to decide the optimal order quantity for each vendor. A solution methodology for the vendor selection model of multiple-vendor, multiple-item with multiple decision criteria and in respect to finite vendor capacity is presented.

Selection of Environmentally Conscious Manufacturing's Program Using Multi-Criteria Decision Making: A Case Study in Electronic Company

  • Sutapa, I. Nyoman;Panjaitan, Togar W.S.
    • Industrial Engineering and Management Systems
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    • 제10권2호
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    • pp.123-127
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    • 2011
  • Nowadays, green purchasing, stop global warming, love the mother earth, and others that related to environment become hot issues. Manufactures industries tend to more active and responsive to those issues by adopting green strategies or program like Environmentally Conscious Manufacturing (ECM). In this article, an electronic company had applied 12 ECM Program and tries to choose one of those programs using 6 criteria, such as total cost involved, quality, recyclable material, process waste reduction, packaging waste reduction, and regulation compliance. By using multi-criteria decision making model, i.e. Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Modified TOPSIS methods, the ECM Program 9 (Open pit) is the best option.

Knowledge Based New POI Recommendation Method in LBS Using Geo-Ontology and Multi-Criteria Decision Analysis

  • Joo, Yong-Jin
    • 대한공간정보학회지
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    • 제19권1호
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    • pp.13-20
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    • 2011
  • 위치 기반 서비스는 사용자 중심의 위치를 기반으로 한 정보 서비스이며 유비쿼터스 시대에 있어서 핵심적인 엔진으로서 논의되어져오고 있다. 본 연구의 목적은 다중 의사 결정 기법을 통해 이동 단말 사용자의 위치 정보와 공간적 선호도를 반영한 새로운 온톨로지 추론 시스템을 개발하는 것이다. 이를 위해 POI 검색을 위한 온톨로지 기반의 LBS 추론시스템을 개발하고 사용자의 상황인식정보와 개인적 특성 및 공간선호도에 따른 온톨로지로 구축을 하여 그 구현 결과를 보였다. 또한 사용자의 의사결정시 결정기준요소에 가중치 부여를 위한 Cost Value Ontology를 구축하여, 다 기준 의사추론을 통해 사용자에게 적절한 추천 결과가 도출되는 위치 기반 서비스 방법을 제안하였다.

전문가 설문에 의한 AHP 가중치 산출의 적용한계에 관한 연구 (A Study on application limitation of AHP priority vector with Expert measurement)

  • 김웅이;김도현;최연철
    • 한국항공운항학회지
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    • 제18권3호
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    • pp.92-98
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    • 2010
  • The AHP methodology compares criteria, or alternatives with respect to a criterion, in a natural, pairwise mode. AHP has been applied in a wide variety of applications multi objective decision making being just one. If a group of expert with different aspect, they need some way to revise expert group. We proposed the concatenation of expert to survey the AHP pairwise question for multi-attribute decision making. In this paper, we suggest a way to revise the expert's priorities in hierarch using concept of different group opinion.

로버스트 우선순위 결정을 위한 Fuzzy 다기준 의사결정기법의 적용 (Application of Fuzzy Multi-criteria Decision Making Techniques for Robust Prioritization)

  • 한봉구;정은성
    • 대한토목학회논문집
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    • 제33권3호
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    • pp.917-926
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    • 2013
  • 본 연구는 로버스트 우선순위 결정을 위한 퍼지 다기준 의사결정기법의 타당성을 수자원 계획수립 문제에 적용하여 제시하였다. 즉 일반적인 다기준 의사결정 기법인 가중합계법, 계층화분석과정, 수정계층화분석과정, TOPSIS 방법과 퍼지가중합계법, 퍼지계층화분석과정, 퍼지수정계층화분석과정, 퍼지 TOPSIS 방법을 사용하여 결과를 비교하였다. 이때 사용된 각 평가기준별 자료는 동일하게 표준화되었으며 각 가중치도 동일한 방법으로 결정되었다. 분석결과 다기준 의사결정방법에 따라 조금씩 다른 순위가 도출되었으나, 퍼지 다기준 의사결정기법을 사용할 경우 사업들의 순위 변동성이 퍼지를 사용하지 않을 때보다 크지 않아 보다 일관된 순위를 유도하였다. 따라서 사업의 우선순위를 결정하는 문제에서 자료와 가중치의 불확실성을 고려할 수 있는 퍼지 다기준 의사결정기법을 활용해서 방법의 변화로 인한 순위의 변동성을 최소화해서 로버스트 순위를 결정하는 것이 보다 효과적이다.