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    题名: Recommender system for software project planning one application of revised CBR algorithm
    作者: 楊亨利
    Yang, Heng-Li;Wang, Cheng-Su
    贡献者: 資管系
    关键词: Project planning;Case-based reasoning;Hybrid AI applications;Recommender system;Multiple objective decisions
    日期: 2009-07
    上传时间: 2015-01-21 11:19:00 (UTC+8)
    摘要: Project management is an experience-driven and knowledge-centralized activity. Therefore, project managers require some assistance to reduce the uncertainty at the early stage of constructing project plans. To overcome the predicament faced by project managers, this investigation proposes a hierarchical criteria architecture (HCA) to enable project managers to describe project requirements adequately. Furthermore, to solve HCA problems, a revised case-based reasoning (RCBR) algorithm, is presented and a recommender system for software project planning is implemented, based on multiple objectives decision techniques and the mining approach. Finally, the proposed RCBR algorithm is successfully applied to analyze 41 real projects from a software consultancy in Taiwan. Experimental results demonstrate that RCBR can efficiently provide related information to help project managers to construct project plans at an early stage. Additionally, the knowledge discovery process of RCBR provides project managers with results similar to what-if analysis. The knowledge can enable project managers to obtain feasible information to re-schedule project resources, and bargain with their customers in the early project planning stage.
    關聯: Expert Systems with Applications,36(5),8938-8945
    数据类型: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2008.11.050
    DOI: 10.1016/j.eswa.2008.11.050
    显示于类别:[資訊管理學系] 期刊論文

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