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Selection of ground motion prediction equations in the central of Iran using data envelopment analysis | ||
| Journal of New Researches in Mathematics | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 بهمن 1401 | ||
| نوع مقاله: research paper | ||
| شناسه دیجیتال (DOI): 10.30495/jnrm.2023.66647.2243 | ||
| نویسنده | ||
ساناز رزم یان 
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| دانشگاه آزاد اسلامی، واحد فیروزکوه | ||
| چکیده | ||
| Data envelopment analysis technique is a very powerful tool to evaluate performance, taking into account various input and output indicators. In data envelopment analysis models, performance is obtained using different models. But one of the problems we face in practical matters is that many decision-making units are evaluated as efficient, and for all of them the same efficiency score is obtained. Therefore, theoretically, no distinction can be made between their performances. In this research, in order to solve this problem, the slack-based measure super-efficiency model has been used. One of the advantages of the DEA procedure is that it is able to determine the efficiency or inefficiency of each prediction equations. In this study, different ground-motion prediction equations of horizontal response spectra in the Central Iran seismotectonic province are evaluated using the DEA procedure. The appropriate prediction equations are selected based on the DEA efficiency scores. Moreover, the efficiency scores are used to rank and weight the appropriate equations. | ||
| کلیدواژهها | ||
| prediction equations؛ ground motion؛ data envelopment analysis؛ efficiency؛ ranking | ||
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آمار تعداد مشاهده مقاله: 31 |
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