• Title/Summary/Keyword: Inner Dependence AHP

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Development of Evaluation Method for Performance of Weapon System using Axiomatic Design based Inner Dependence AHP (공리적설계 기반의 내부종속 AHP를 이용한 국방무기 해외 구매사업의 무기성능 평가방법 개발)

  • Cho, Hyunki;Kim, Woo-Je
    • Korean Management Science Review
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    • v.29 no.3
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    • pp.45-65
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    • 2012
  • Test and evaluation of weapon system is an important task to evaluate the performance of overseas weapon system purchasing project. Especially, quantitative evaluation of performances is hardly completed in defense projects where multiple criteria are conflicted each other. In order to solve this problem, we apply Axiomatic Design (AD) and Inner Dependence AHP method. First, finite functional requirements (FRs) are categorized in hierarchy structure by selecting proper design parameters (DPs) to implement their corresponding FRs. If there are no ways to select DPs when design is coupled between FRs and DPs, then inner dependence is allowed to overcome the strict rule of independence in AHP. Second, the weights of DPs are calculated by applying both Inner Dependence AHP method for coupled design and normal AHP method for uncoupled or decoupled design. Finally, information axiom of AD is applied to the proposed weapon systems by calculating information contents for all parameters. Weapon system with minimum sum of information contents is considered as the best solution. The proposed method in this study should be used in multiple criteria decision making problems involving various conflicting criteria.

AHP와 ANP의 결합을 통한 합리적 예측모델구축

  • 이태희;김홍재
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1997.10a
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    • pp.229-232
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    • 1997
  • This study is pursuited to construct the reasonable forecasting model through the combining AHP with ANP. It may be considered to be advanced study for prior various combining forecasts methods. Although prior studies are constrained to single or two criteria in selecting the optimal forecasting method, this study extend it to multi-criteria, inner and outer-dependence of clusters and elements, and feedback effect in hierarchy. A brief illustration is provided, and limitations of this study are presented.

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