An Evidential Reasoning Approach for College Students Autonomous Learning Ability Evaluation

摘要：

The procedure for self-regulated learning ability evaluation inevitably involves human beings subjective judgments and uncertainties. In order to model these uncertainties, this paper presents an interval evidential reasoning (IER) approach for autonomous learning ability assessment, which uses the analytical evidential reasoning (ER) algorithm to aggregate all evidence simultaneously. Two pairs of nonlinear optimization models are employed to estimate the upper and lower bounds of the combined belief degrees and to compute the maximum and the minimum expected utilities. The numerical example gives an application of IER, which demonstrates its validity for college students autonomous learning ability evaluation.

关键词： Autonomous Learning Ability lnterval Evidential Reasoning Evaluation

作者: GONG Xiao-Ting FU Yang-Geng

作者单位: School of Public Administration Fuzhou University Fuzhou,China School of Mathematics and Computer Science Fuzhou University Fuzhou,China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 988-992

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）