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A Study on the Selected Threshold of Image Edge Detection
보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.3 2015.03 pp.321-328
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
Threshold setting is an important part of image edge detection, and directly affect the edge detection result. This paper proposes a threshold search scheme based on genetic algorithm, the secondary search optimization of the improved genetic algorithm is divided into two times to seek the global optimal solution, namely using the results of the search for solution for the first time to determine the second optimization selection of initial population, as a result of the optimization may be given for the first time is not necessarily the global optimal solution, but it certainly is a good result, the optimization process will be the second time, the initial population of restrictions in a neighborhood of the search results for the first time. The simulation results proved the advantage of the proposed algorithm.
The Application of Intuitionistic Fuzzy Set TOPSIS Method in Employee Performance Appraisal
보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.3 2015.03 pp.329-344
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
An Extension Fuzzy Analysis Model of the Performance of Education Management for Higher Education
보안공학연구지원센터(IJUNESST) International Journal of u- and e- Service, Science and Technology Vol.8 No.3 2015.03 pp.345-352
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
Many factors hold key to educational management for higher learning. An analysis of the performance of educational management is crucial to help higher education institutions enhance teaching ability and quality. This paper proposes an extension fuzzy analysis model to evaluate the performance of education management for higher education. First, it constructs a comprehensive index system for the performance of education management. And standardize quantitative and qualitative indicators in the index system. It then constructs an extension distance model of different performance evaluation indicators about the classical domain and the section domain. And a performance evaluation model based on fuzzy and extension correlation is established. The performance of education management is measured by correlation. Finally, a case study has proved that the model is practical and available.
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