文章基本信息

标题：An empirical study for ranking insurance firms using a hybrid of data envelopment analysis and neural network ,
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作者：Ahmad Makui ; M. Emrani Noushabadi
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2012
卷号：2
期号：8
页码：2923-2928
DOI：10.5267/j.msl.2012.09.017
出版社：Growing Science
摘要：One of the primary concerns with data envelopment analysis arises when the number of inputs and outputs increases. In such a case, required computations will become time consuming and there is a concern on developing some hybrid methods to increase the capability of this method. In this paper, a combination of data envelopment analysis and multi-layer neural network is proposed, in a case study, for predicting the performance of Alborz insurance subsidiaries in large cities in Automobile insurance firms. This research can be used in the future databases for performance prediction. On the other side, these results can aid Alborz insurance in its future investments as well as the performance index usage.
关键词：Data envelopment analysis; Neural network; Insurance firms