标题: 非线性成本函数的能力集最佳扩展模式
Optimal Expansion Model of Competence Set with Nonlinear Cost Function
作者: 谢昀泽
Hsieh, Yun-Tzer
黎汉林
Han-Lin Li
资讯管理研究所
关键字: 能力集?610;非线性成本函数?610;Competence Set?610;Nonlinear Cost Functions?610
公开日期: 1995
摘要: 本研究针对考量能力程度变数之能力集,观察决策者之能力学习行为,建
构一套含非线性成本函数之能力程度影响关系,形成能力集最佳扩展分析
模式,并配合模式表示法及线性转换方法,以解决决策者做能力集扩展时
之学习时间分派问题。
传统之能力集扩展模式,大多假设个别能力只有取得与否的状态,而本研
究加入了能力程度之变数,使模式更切合实际。与目前已考量能力程度之
能力集扩展模式相较,本研究之模式在能力程度取得的因素中,同时合并
考虑了学习资源与相关能力对特定能力程度的影响,并在模式中可包含各
种非线性之学习成本曲线。在解题方法上,本研究提出了以绝对值形式来
表示分段线性函数之方式,并配合各种线性转换技巧,可将分析模式线性
化,并可减少零壹变数之数量,提高解题之效率。
This paper proposes an optimal expansion model of competence
set with nonlinear cost functions, which can consider the level
of competence and observe thedecision maker's behavior. This
model can deal with the problem of assignmentof learning time
when decision makers expand their competence sets using the
linearization technique.
Using the 0-1 logic to presentthe level of competence, the
traditional method addressed the problem of the optimal
expansion of competence sets. In contrast, the model and the
solving method proposed here enjoys the following advantages: it
can consider the factors of learning resources and the effect
of related competence sets in acquirement of competence
simultaneously, and it can conclude the nonlinear learning
curve; it can find the solution by utilizing a expression of
absolute and a linearization technique, the process can reduce
the number of 0-1 variable andimprove the efficiency of problem
solving.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT840396004
http://hdl.handle.net/11536/60534
显示于类别:Thesis