Training Strategy Model for BDAR Based on Case-Based Reasoning

摘要：

　　Traditional battlefield damage assessment and repair training system focuses on the damage assessment.It ignores the battlefield environment.And the training task is selected randomly.The efficient of this training system is poor.Especially,it doesn’t suit to the emergency training for BDAR.A new method based on CBR for BDAR training task generating is proposed.The frame technology is used on the BDAR case representation.It analysis the characteristic factor which effecting calculating of the similarity between attributes and cases.Both trainee’s ability vector and case’s ability vector are used in the similarity’s solving,and a reverse mapping translation is promoted between two vector’s evaluating linguistics.A retrieval strategy which consists of three steps is presented.This strategy can find a more suitable case for certain trainee,the efficient of training can be improved.

关键词： CBR BDAR training case similarity retrieval strategy

作者: Zhifeng You Quan Shi Qiwei Hu Ye Wang

作者单位: Department of Equipment Command & Management Mechanical Engineering College Shijiazhuang, P. R. China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 1272-1275

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）