首页> 外文会议>International Conference on Computational Science and its Applications >Use of AHP and Promethee for Research Project Portfolio Selection
【24h】

Use of AHP and Promethee for Research Project Portfolio Selection

机译:使用AHP和Promethee进行研究项目组合选择

获取原文

摘要

Multiple Criteria Decision Analysis (MCDA) methods are increasingly used in complex decision problems that involves several decision parameters, often faced by the decision makers involved in the planning process. The need to rank projects submitted to research scholarship programs in higher education institutions is a common practice that can be supported by the application of the AHP and Promethee II methods. This work applies the use of these methods in the selection of research scholarship projects, based on a case study, carried out with data from the Call for Proposals of the Institutional Program for Scientific Initiation (ProIC/PIBIC) - 2017/2018 of the University of Brasilia (UnB). The methodology involved the construction of the model with multiple criteria in order to facilitate the decision making with the formalization and definition of the decision alternatives for the ranking of the projects submitted by the teachers. The results showed a classification adhering to the items considered relevant by the Institution in the classification of projects. Although the constructed model has been applied in the context of a single institution, it can be used by other institutions of higher education, since the ranking criteria defined by the Bodies of Fomentation are similar.
机译:多个标准决策分析(MCDA)方法越来越多地用于涉及若干决策参数的复杂决策问题,通常面临规划过程中的决策者。在高等教育机构中提交研究奖学金计划的项目需要排名的项目是一个常见的做法,可以通过AHP和Promethee II方法的应用来支持。这项工作适用于根据案例研究在选择研究奖学金项目方面使用这些方法,该项目从呼吁进行的资料启动(PROC / PIBIB) - 2017/2018的制度计划的提案巴西利亚(UNB)。该方法涉及具有多个标准的模型的构建,以促进决策,以便在教师提交的项目排名中的决定和定义决策替代方案。结果表明,遵守项目在项目分类中所考虑的项目的分类。虽然构建的模型已在单一机构的背景下应用,但是它可以被其他高等教育机构使用,因为饲料尸体定义的排名标准类似。

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