• 제목/요약/키워드: Selection and Evaluation

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CIPP모형을 활용한 R&D과제기획 선정평가 도구 개발 연구 : K연구원 중심으로 (A Study on R&D Project Planning Selection Evaluation Indicators based on CIPP model)

  • 민현구
    • 기술혁신연구
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    • 제31권3호
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    • pp.171-199
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    • 2023
  • 본 연구는 K연구원의 상향식 R&D과제기획 차원의 신규 연구기획과제 선정평가를 위한 평가도구 개발에 목적을 두고 진행하였다. 이를 위해 CIPP모형과 연구기획평가를 위한 선정평가 및 평가지표에 관한 선행연구를 중심으로 R&D과제기획 선정평가 항목과 문항을 개발 한 후, 2회에 걸친 델파이 조사를 실시하였다. 개발된 평가도구는 13명의 전문가를 대상으로 설문조사를 실시하여 내용타당도, 합의도 및 수렴도를 검증하였다. 최종 선정된 R&D과제기획 선정평가 도구는 8개 항목에 총 21개 문항으로, 상황평가 5 문항, 투입평가 2문항, 과정평가 8문항, 산출평가 6문항으로 구성되었다. 개발된 평가 도구는 상향식 기획 과정상의 문제점을 해소하고 연구자들의 기획역량을 제고하는 데 기여할 것이다. 또한, 선정평가 시 평가에 대한 일관성과 효율성 제고에 기여할 것이다.

MIS개발을 위한 체계적인 소프트웨어 평가 및 선정

  • 이규헌;서남수
    • 한국국방경영분석학회지
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    • 제11권1호
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    • pp.47-54
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    • 1985
  • In this paper, for the systematic software evaluation and selection objective, we first discussed the systems software which is distinctly different from applications oriented software in source, concept and use. We suggested the systematic procedures for the effective software evaluation and selection by analyzing categories of commercially available proprietary software, sources of information for software selection, request for information, request for proposal, user surveys as an aid to evaluation and evaluation of responses to the RFP.

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Derivative Evaluation and Conditional Random Selection for Accelerating Genetic Algorithms

  • Jung, Sung-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권1호
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    • pp.21-28
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    • 2005
  • This paper proposes a new method for accelerating the search speed of genetic algorithms by taking derivative evaluation and conditional random selection into account in their evolution process. Derivative evaluation makes genetic algorithms focus on the individuals whose fitness is rapidly increased. This accelerates the search speed of genetic algorithms by enhancing exploitation like steepest descent methods but also increases the possibility of a premature convergence that means most individuals after a few generations approach to local optima. On the other hand, derivative evaluation under a premature convergence helps genetic algorithms escape the local optima by enhancing exploration. If GAs fall into a premature convergence, random selection is used in order to help escaping local optimum, but its effects are not large. We experimented our method with one combinatorial problem and five complex function optimization problems. Experimental results showed that our method was superior to the simple genetic algorithm especially when the search space is large.

A Study on performance Evaluation Technique for new Computer System Selection

  • 김성조
    • 정보과학회지
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    • 제5권2호
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    • pp.41-48
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    • 1987
  • 어느 기관이 컴퓨터 씨스템을 처음 도입하고자 할때, 어떤 씨스템이 그 기관의 고유 업무를 수행하는데 가장 적합한지를 결정하는 일은 무엇보다도 중요 하다. 이와 같은 씨스템 능력 측정의 주요한 목적은 임대료와 컴퓨터 씨스템 구 성이 비슷한 경우 능력 측정을 하고자 하는 기관 고유 업무의 각 기종에 대한 상 대적인 thruput을 알아 보는데 있다.

BSC와 Fuzzy AHP를 활용한 웹 기반의 BPM 대상 프로세스 선정에 관한 연구 (Study on aWeb-based Business Process Evaluation Model for BPM using BSC and Fuzzy AHP)

  • 이승신;조지운
    • 산업공학
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    • 제22권1호
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    • pp.26-37
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    • 2009
  • BPM(Business Process Management) secures the agility of an enterprise through automation, integration, and optimization of business process. For the successful BPM introduction, the evaluation and selection of suitable processes for BPM are very important. But as to process evaluation and selection standards, in fact, various selection elements exist and they have to be considered. Therefore, it is very difficult to evaluate systematically and reasonably business processes for enterprises or concerned persons that plan to introduce BPM. This paper describes a Web-based business process evaluation model for BPM using BSC(Balanced Scorecard) and fuzzy AHP(Analytic Hierarchy Process). A Web-based business process evaluation system was implemented based on this and it provides many useful business process evaluation results to enterprises or concerned persons that have insufficient experience and knowledge about BPM, and initially plan to implement BPMS(Business Process Management System). Thus, this paper demonstrates the applicability of fuzzy AHP concept in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

Evaluation System for Selecting Residents of Supportive Housing in Seoul

  • Yuhyun SUNG;YounJae LEE
    • 융합경영연구
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    • 제11권2호
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    • pp.57-68
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    • 2023
  • Purpose: This study aims to improve the evaluation system for selecting supportive housing applicants, addressing inconsistency, lack of health and care evaluation, and the need for a quantitative evaluation tool. Proposed improvements include a consistent evaluation index and items for each resident type, selecting suitable residents for independent living and community integration. Research design, data and methodology: This study analyzed the supportive housing selection checklist provided by the Seoul Metropolitan Government, the supportive housing ordinance, and the SH Corporation's operation guidelines. Results: Study finds current supportive housing tenant selection system lacks consistency and proposes improvements. The same terms should be used for the same evaluation items, health and care evaluation items should be added for all tenants, and a quantitative evaluation tool should be used. Consistent evaluation index and items should be created for each resident type in the same evaluation area. The aim is to select suitable tenants with potential for independent living and community integration. Conclusions: This study improves the evaluation system for selecting supportive housing applicants by addressing inconsistencies and adding essential evaluation items related to health and care. While the study is significant, future research should focus on developing quantitative evaluation tools for all detailed items.

COTS Component Quality Evaluation Using AHP

  • Oh Kie Sung
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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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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VE-LCC 분석을 통한 철도의 최적노선 선정방안 연구 (A Study on the Selection of the Optimum Railroad Line using VE-LCC Analysis)

  • 신태균;손석구;이승훈;구교진;현창택
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 춘계학술대회 논문집
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    • pp.315-320
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    • 2003
  • Selecting a railroad line requires the comparative evaluation of various elements. As a systematic approach to this selection it will be necessary to apply the VE study and the LCC analysis. This study proposes a methodology for selecting the optimum line of the ralroad using VE-LCC analysis. The VE study is performed by following four steps : Information analysis, Function analysis, Alternative evaluation, and Optimum plan selection. The economics evaluation in VE study is using LCC analysis and Sensitivity analysis. Cost items in LCC analysis are classified into bridge, tunnel, rail, and earthwork. We could select the optimum alte-rnatives considering not only cost elements hut also various evaluation element in VE-LCC analysis. The synthetic evaluation process of relative value composition and weighted matrix evaluation

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다차원 데이터 평가가 가능한 개선된 FSDD 연구 (An Improvement of FSDD for Evaluating Multi-Dimensional Data)

  • 오세종
    • 디지털융복합연구
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    • 제15권1호
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    • pp.247-253
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    • 2017
  • 피처선택, 혹은 변수 선택은 피처의 수가 매우 많은 고차원 데이터에서 주어진 주제와 연관성이 높은 피처를 선별하는 과정으로서, 데이터의 차원수를 낮추어 군집분석이나 분류 분석 등을 용이하게 하는데 중요한 기법이다. 많은 수의 피처들 중에서 일부의 피처를 선별하기 위해서는 피처들을 평가하기 위한 도구가 필요하다. 현재까지 제안된 도구들은 대부분 확률이론이나 정보이론에 기초하여 만들어졌기 때문에 하나의 피처, 즉 1차원 데이터만을 평가할 수 있다. 그러나 피처들 간에는 상호작용이 있기 때문에 하나의 피처를 평가하기 보다는 여러 피처들의 집합, 즉 다차원 데이터를 평가할 수 있어야 효과적인 피처 선택이 가능하다. 본 연구에서는 확장된 거리 함수를 이용하여 1차원 데이터 평가용으로 제안된 FSDD 평가 함수를 다차원 데이터에 대한 평가가 가능하도록 개선하는 방법에 대해 제안하였다. 본 연구에서 제안한 접근법은 다른 1차원 데이터 평가함수에도 적용이 될 수 있을 것으로 기대된다.

네트워크 분석과정을 이용한 공급업체 평가에 대한 연구 (Selection of Suppliers Using the Analytic Network Process)

  • 정욱;장병윤
    • 품질경영학회지
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    • 제37권4호
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    • pp.1-9
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    • 2009
  • Supplier selection process is one of the most important arenas of production and logistics management for many companies. This study explores the application of the analytic network process (ANP) approach for the evaluation of suppliers based on several different evaluation criteria. The ANP approach in this study is capable of providing priorities of suppliers that capture network relationships among several evaluation criteria which are not independent. Therefore this study provides value to practitioners by providing a generic model for supplier selection. In addition, for researchers, it demonstrates further research possibilities for more complex decision making problems using ANP.