...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Expert systems with applications >An Erp Software Selection Process With Using Artificial Neural Network Based On Analytic Network Process Approach
【24h】

An Erp Software Selection Process With Using Artificial Neural Network Based On Analytic Network Process Approach

机译：基于解析网络过程法的人工神经网络ERP软件选择过程

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An enterprise resource planning (ERP) software selection is known to be multi attribute decision making (MADM) problem. This problem has been modeled according with analytic network process (ANP) method due to fact that it considers criteria and sub criteria relations and interrelations in selecting the software.rnOpinions of many experts are obtained while building ANP model for the selection ERP then opinions are reduced to one single value by methods like geometric means so as to get desired results. To use ANP model for the selection of ERP for a new organization, a new group of expert's opinions are needed. In this case the same problem will be in counter. In the proposed model, when ANP and ANN models are setup, an ERP software selection can be made easily by the opinions of one single expert. In that case calculation of geometric mean of answers that obtained from many experts will be unnecessary. Additionally the effect of subjective opinion of one single decision maker will be avoided. In terms of difficulty, ANP has some difficulties due to eigenvalue and their limit value calculation.rnAn ANN model has been designed and trained with using ANP results in order to calculate ERP software priority. The artificial neural network (ANN) model is trained by results obtained from ANP. It seems that there is no any major difficulty in order to predict software priorities with trained ANN model. By this results ANN model has been come suitable for using in the selection of ERP for another new decision.
机译：企业资源计划（ERP）软件选择是多属性决策（MADM）问题。由于该问题在选择软件时会考虑标准和子标准之间的关系和相互关系，因此已使用分析网络过程（ANP）方法对其进行了建模。rn在建立用于选择ERP的ANP模型时获得了许多专家的意见，然后减少了意见通过诸如几何均数之类的方法将其设置为一个单一值，以获得期望的结果。为了使用ANP模型为新组织选择ERP，需要新的专家意见。在这种情况下，同样的问题将会解决。在所提出的模型中，当建立ANP和ANN模型时，可以根据一位专家的意见轻松地选择ERP软件。在这种情况下，无需计算从许多专家那里获得的答案的几何平均值。另外，将避免一个决策者的主观意见的影响。在难度方面，由于特征值及其极限值的计算，ANP会遇到一些困难。为了计算ERP软件的优先级，使用ANP结果设计并训练了ANN模型。通过从ANP获得的结果来训练人工神经网络（ANN）模型。看起来，使用经过训练的ANN模型来预测软件优先级没有任何重大困难。通过这一结果，ANN模型已经适合用于ERP的另一个新决策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号