• Journal of Technology Innovation
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• v.31 no.3
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• pp.171-199
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• 2023

The purpose of this study was to develop an evaluation tool for selecting new projects for R&D project planning level of K Research Institute. For this purpose, items and questions for R&D project selection evaluation were developed based on the CIPP model and previous studies on selection evaluation and evaluation indicators for research project evaluation, and then two Delphi surveys were conducted. The developed evaluation tool was surveyed by 13 experts to verify contents validity ratio, convergence and consensus. The finally selected evaluation tool for R&D project planning consisted of 21 questions in 8 items, including 5 questions for context evaluation, 2 questions for input evaluation, 8 questions for process evaluation, and 6 questions for product evaluation. The evaluation tool developed will contribute to the solution of problems in the bottom-up planning process and to the improvement of the planning competence of the researchers. It will also contribute to improve the consistency and efficiency of evaluation during the selection process.

• Journal of the military operations research society of Korea
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• v.11 no.1
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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.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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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.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.5 no.2
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• pp.41-48
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• 1987

This paper is concerned with selection evaluation technique among three major performance evaluation techniques which are suitable for new computer system selection. It will discuss benchmarks, synthetic programs and simulation among various techniques for selection evaluation. It will show a formal technique using integer programming models for selecting a suitable job mix. It will suggest a simple method for comparing performance evaluation results. It will also provide benchmarks and synthetic program operation rules and expected outputs in appendix.

• IE interfaces
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• v.22 no.1
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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.

• The Journal of Economics, Marketing and Management
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• v.11 no.2
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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.

• Proceedings of the IEEK Conference
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• 2004.08c
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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.

• Proceedings of the KSR Conference
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• 2003.05a
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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

• Journal of Digital Convergence
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• v.15 no.1
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• pp.247-253
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• 2017

Feature selection or variable selection is a data mining scheme for selecting highly relevant features with target concept from high dimensional data. It decreases dimensionality of data, and makes it easy to analyze clusters or classification. A feature selection scheme requires an evaluation function. Most of current evaluation functions are based on statistics or information theory, and they can evaluate only for single feature (one-dimensional data). However, features have interactions between them, and require evaluation function for multi-dimensional data for efficient feature selection. In this study, we propose modification of FSDD evaluation function for utilizing evaluation of multiple features using extended distance function. Original FSDD is just possible for single feature evaluation. Proposed approach may be expected to be applied on other single feature evaluation method.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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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.