• 제목/요약/키워드: Multi-criteria

검색결과 1,073건 처리시간 0.023초

AHP를 이용한 경항공기 가종선정표의 개발 (Development of Checklist for the Selecting Optimum Light Airplane by the AHP)

  • 은희봉;권보헌
    • 한국항공운항학회지
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    • 제11권2호
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    • pp.43-58
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    • 2003
  • To decide the type of airplane to purchase in air service agencies is a typical matter of multi-criteria decision making process. The selection of airplane type is very important because it has great impact on the budget and management of air service agency, once the decision has been made. AHP is being recognized as one of many effective methods of multi-criteria decision making processes. In this study, checklist for the selecting optimum type of light airplane to be purchased is developed by the AHP.

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퍼지 정수계회법을 이용한 발전기 보수유지계획 수립 수법의개발 (Development of a Method for the Generator Maintenance Scheduling using Fuzzy Integer Programming)

  • 최재석;도대호
    • 한국지능시스템학회논문지
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    • 제7권5호
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    • pp.77-85
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    • 1997
  • 본 연구에서는 발전기 보수유지계획 수립을 위하여 퍼지 다목적함수를 이용한 새로은 방법을 제시한다. 보수유지 지연비용의 최소화의 발전기 공급예비력의 최대화를 퍼지 다목적함수로 삼았다. 퍼지론적인 환경을 갖는 보수유지계획의 최적점을 구하기 위하여 퍼지 다목적 정수계획법을 이용하였다. 본 연구의 중요 특성은 기존의 불확실성을 갖는 크리스프적인 제약조건을 퍼지제약으로 처리함으로써 보다 유연한 해를 구할 수 있다는 점이다. 모델계통에 대한 사례연구를 통하여 이번에 개발한 수법의 효용성을 보였다.

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Multi-criteria shape design of crane-hook taking account of estimated load condition

  • Muromaki, Takao;Hanahara, Kazuyuki;Tada, Yukio
    • Structural Engineering and Mechanics
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    • 제51권5호
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    • pp.707-725
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    • 2014
  • In order to improve the crane-hook's performance and service life, we formulate a multi-criteria shape design problem considering practical conditions. The structural weight, the displacement at specified points and the induced matrix norm of stiffness matrix are adopted as the evaluation items to be minimized. The heights and widths of cross-section are chosen as the design variables. The design variables are expressed in terms of shape functions based on the Gaussian function. For this multi-objective optimization problem with three items, we utilize a multi-objective evolutionary algorithm, that is, the multi-objective Particle Swarm Optimization (MOPSO). As a common feature of obtained solutions, the side views are tapered shapes similar to those of actual crane-hook designs. The evaluation item values of the obtained designs demonstrate importance of the present optimization as well as the feasibility of the proposed optimal design approach.

A general tangent operator applied to concrete using a multi-surface plasticity model

  • Silva, Ana Beatriz C.G.;Telles, Jose Claudio F.;Fairbairn, Eduardo M.R.;Ribeiro, Fernando Luiz B.
    • Computers and Concrete
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    • 제16권2호
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    • pp.329-342
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    • 2015
  • The present paper aims at developing a method to accommodate multi-surface concrete plasticity from the point of view of a consistency concept applied to general tangent operators. The idea is based on a Taylor series expansion of the actual effective stress at the stress point corresponding to the previous accumulated true stresses plus the current increment values, initially taken to be elastic. The proposed algorithm can be generalized for any multi-surface criteria combination and has been tested here for typical cement-based materials. A few examples of application are presented to demonstrate the effectiveness of the multi-surface technique as used to a combination of Rankine and Drucker-Prager yield criteria.

Multi-Optimal Designs for Second-Order Response Surface Models

  • Park, You-Jin
    • Communications for Statistical Applications and Methods
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    • 제16권1호
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    • pp.195-208
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    • 2009
  • A conventional single design optimality criterion has been used to select an efficient experimental design. But, since an experimental design is constructed with respect to an optimality criterion pre specified by investigators, an experimental design obtained from one optimality criterion which is superior to other designs may perform poorly when the design is evaluated by another optimality criterion. In other words, none of these is entirely satisfactory and even there is no guarantee that a design which is constructed from using a certain design optimality criterion is also optimal to the other design optimality criteria. Thus, it is necessary to develop certain special types of experimental designs that satisfy multiple design optimality criteria simultaneously because these multi-optimal designs (MODs) reflect the needs of the experimenters more adequately. In this article, we present a heuristic approach to construct second-order response surface designs which are more flexible and potentially very useful than the designs generated from a single design optimality criterion in many real experimental situations when several competing design optimality criteria are of interest. In this paper, over cuboidal design region for $3\;{\leq}\;k\;{\leq}\;5$ variables, we construct multi-optimal designs (MODs) that might moderately satisfy two famous alphabetic design optimality criteria, G- and IV-optimality criteria using a GA which considers a certain amount of randomness. The minimum, average and maximum scaled prediction variances for the generated response surface designs are provided. Based on the average and maximum scaled prediction variances for k = 3, 4 and 5 design variables, the MODs from a genetic algorithm (GA) have better statistical property than does the theoretically optimal designs and the MODs are more flexible and useful than single-criterion optimal designs.

부정확한 대안평가하에서 모호선호관계를 이용한 다기준 의사결정 기법 (A Multi-Criteria Decision Making Method Based on Fuzzy Outranking Relation)

  • 조권익;김성희
    • 대한산업공학회지
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    • 제16권2호
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    • pp.37-44
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    • 1990
  • In selecting the best project in multi-criteria decision making problems, the imperfect information of consequence and the vague preference of the decision maker(DM) would make the decision analysis more complex together with the conflict of several criteria. In this context, a method is proposed to deal the fuzzy information mentioned before instead of reducing it to a single representative value. And, based on the given imprecise information, projects are ranked completely or partially according to DM's vague preference. The procedure consists, for each pair of projects, of calculating the degree of supporting over all criteria and the degree of opposing with respect to each criterion for their outranking relation. Together with weights for each criterion, these indices produce fuzzy outranking relations for each pair of projects. And a complete or partial ranking of projects is obtained according to outranking degrees considering the interdependence among projects.

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농촌마을의 중심성 평가 모형의 개발 (I) -MCE법에 의한 모형의 개발 - (Development of a Potential Centrality Evaluation Model for Rural Villages ( I ) -Developing Model by MCE Method-)

  • 김대식;정하우
    • 한국농공학회지
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    • 제44권1호
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    • pp.69-80
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    • 2002
  • This study aims to develop a potential centrality evaluation model (PCEM) which can evaluate the potential centrality of villages within the catchment boundaries. PCEM is a tool for evaluation of villages\` centralities by the potential centrality index (PCI) developed in this study. For quantification of PCI, total 31 evaluation criteria on the accessibility to other villages and the natural and human environment of the village were introduced. The weighting values of criteria were calculated from the step wise pair-comparision results of 14 specialists in academic fields on rural planning using by AHP (Analytic Hierachy Process) of MCE (multi-criteria evaluation) method. In the results, the weighting values of the spatial accessibility, the natural environments and the human environments were 448, 338 and 214, respectively, among total value being 1,000.

항만물류종합정보시스템의 재난복구 우선순위결정 : 퍼지 TOPSIS 접근방법 (Disaster Recovery Priority Decision of Total Information System for Port Logistics : Fuzzy TOPSIS Approach)

  • 김기윤;김도형
    • 한국IT서비스학회지
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    • 제11권3호
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    • pp.1-16
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    • 2012
  • This paper is aimed to present a fuzzy decision-making approach to deal with disaster recovery priority decision problem in information system. We derive an evaluation approach based on TOPSIS(Technique for Order Performance by Similarity to Ideal Solution), to help disaster recovery priority decision of total information system for port logistics in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy multi-criteria decision-making method to determine the importance weight of evaluation criteria and to synthesize the ratings of candidate disaster recovery system. Aggregated the evaluators' attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 7 information systems for port logistics assessed by 5 evaluators from Maritime Affairs and Port Office.

위험도 평가기준을 적용한 저수지 최적운영방안 연구(I) (대청댐을 중심으로) (A Study of Optimal Operation Policy using Risk Evaluation Criteria(I) (for the Daechung Multi-purpose Reservoir))

  • 박명기;김재한;정관수
    • 한국수자원학회논문집
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    • 제35권1호
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    • pp.37-49
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    • 2002
  • 이수목적 수량관리를 위한 보장수량과 수력발전 등을 고려한 최적화 기법은 이상가뭄 또는 특이 수문년을 포함하는 경우에는 적용에 한계가 있다. 이러한 관점에서 Hashimoto 등(1982)에 의해 제안된 물부족에 관련된 3가지 평가기준을 혼합정수계획법을 통해 최적화모형에 반영하기 위한 Moy 등(1986)과 Srinivasan 등(1999)에 의해 제시된 바 있다. 그러나 이들 연구는 용수공급용 단일 저수지에 대해 한정되어 발전을 포함하는 다목적댐에 적용할 수 있는 정식화 연구는 부진한 실정이다. 본 연구에서는 다목적댐의 용수공급 및 수력발전 최적화 문제에 위험도 평가기준을 도입하여 운영평가를 위한 정식화 형태를 개선하였으며, 개선된 모형을 금강수계 대청다목적댐에 적용하여 그 실효성을 평가하였다.

신재생에너지 평가시스템 구축 (A Study on the R&D Evaluation system of New & Renewable Energy)

  • 김유정
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2005년도 춘계학술대회
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    • pp.656-659
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    • 2005
  • his paper develops the systematic and quantitative priority-determining method for national investment using the framework of evaluating R&D. This study proposes multi criteria for evaluating the R&D of New & Renewable Energy through analysing the attribute of 11 types of energy. The framework is constituted by 4 criteria, the political urgency, economic impact, regional constraint. and technological attribute and the each criteria has 3 or 4 sub-criteria. These sub-criteria are weighted using AHP.

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