计算机应用研究
計算機應用研究
계산궤응용연구
APPLICATION RESEARCH OF COMPUTERS
2010年
4期
1293-1296,1300
,共5页
计算机辅助教育%计算机辅助测验%智能组卷%人工鱼群算法%层次分析方法
計算機輔助教育%計算機輔助測驗%智能組捲%人工魚群算法%層次分析方法
계산궤보조교육%계산궤보조측험%지능조권%인공어군산법%층차분석방법
computer based education(CBE)%computer assisted test(CAT)%intelligent composing test papers%artificial fish swarm algorithm(AFSA)%analytic hierarchy process(AHP)
针对已有智能组卷方法难以满足考核要求,设计了一种基于层次分析方法与人工鱼群算法的新方法.首先根据试卷总分、考试时间、章节分数、知识点分数、题型分数、能力层次分数、试卷难度与试卷区分度八个考核要求建立多目标、多约束组卷模型;然后利用层次分析方法确定各组卷目标的权重,进而通过线性加权求和将多目标规划模型转换为单目标规划模型;最后利用改进的人工鱼群算法求解模型得到最优组卷方案.该方法适用于单套组卷与多套组卷.同时,讨论了该方法的优缺点以及发展趋势.
針對已有智能組捲方法難以滿足攷覈要求,設計瞭一種基于層次分析方法與人工魚群算法的新方法.首先根據試捲總分、攷試時間、章節分數、知識點分數、題型分數、能力層次分數、試捲難度與試捲區分度八箇攷覈要求建立多目標、多約束組捲模型;然後利用層次分析方法確定各組捲目標的權重,進而通過線性加權求和將多目標規劃模型轉換為單目標規劃模型;最後利用改進的人工魚群算法求解模型得到最優組捲方案.該方法適用于單套組捲與多套組捲.同時,討論瞭該方法的優缺點以及髮展趨勢.
침대이유지능조권방법난이만족고핵요구,설계료일충기우층차분석방법여인공어군산법적신방법.수선근거시권총분、고시시간、장절분수、지식점분수、제형분수、능력층차분수、시권난도여시권구분도팔개고핵요구건립다목표、다약속조권모형;연후이용층차분석방법학정각조권목표적권중,진이통과선성가권구화장다목표규화모형전환위단목표규화모형;최후이용개진적인공어군산법구해모형득도최우조권방안.해방법괄용우단투조권여다투조권.동시,토론료해방법적우결점이급발전추세.
In view of the shortcomings that satisfy the examination requirements of the existing methods in the intelligent composing test papers, designed a new method based on the analytic hierarchy process and the artificial fish swarm algorithm. Firstly, according to the demands for the test such as the total score, the examination time, the scores of the chapters, the scores of the knowledge points, the scores of the title types, the scores of the ability-levels, the difficult degree and the distinguish degree, constructed a multi-constrained multi-objective programming model of the intelligent composing test papers. Secondly, put the analytic hierarchy process to use in order to work out the weights of all the test objectives. Thirdly, by the linear weighted sum, turned the multi-objective programming model into the single-objective programming model. Finally, with the help of the improved artificial fish swarm algorithm, formed the optimal test paper. The method applied to the composition of a single set of test paper and multiple sets of ones. At the same time, discussed the advantages, shortcomings and development trends of the method.