년 - 년
Dynamic Multi-Attribute Decision Making Based on Advantage Retention Degree SCOPUS
보안공학연구지원센터(IJCA) International Journal of Control and Automation Vol.7 No.9 2014.09 pp.389-398
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
To solve the traditional dynamic decision making time relationship problem, this paper introduced a new dynamic multi-attribute decision making method based on advantage retention degree (ARD). According to the logic continuity of decision result at adjoining periods, the concepts of dynamic decision making and retain ability were described, then the dynamic decision making was realized by the calculation of ordering vector based on ARD. The analysis of numerical examples shows that the distinction among components of ordering vector with retain ability is increased, and dynamic multi-attribute decision making based on ARD can solve the problem that the decision couldn’t be made if the components are same during the traditional static decision making process. Finally, the rationality of new decision method is proved by the decision results.
보안공학연구지원센터(IJSIA) International Journal of Security and Its Applications Vol.10 No.3 2016.03 pp.1-10
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
To induce the landing risk of carrier-based aircraft, and improve the safety of pilots and carrier-based aircraft, tthis paper presents an improved landing risk evaluation of carrier-based aircraft based on Mean-Variance statistics error multi-attribute dynamic decision making. Attribute values is shown as triangular fuzzy numbers, and ordering vectors are achieved through possibility-degree and ordering expression. In accordance with ordering wave from ordering values at different times to desire rank, condition analysis should be conducted. Finally, the rank ordering is acquired. The model simulation results indicate the better performance of the new method in comparison with the traditional controller with more accuracy and practicability.
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