Automatic verification of a knowledge base by using a multi-criteria group evaluation with application to security screening at an airport
作者：
Highlights：
• A new method of automatic verification of knowledge base is presented.
• The method uses a multi-criteria group evaluation of variants under uncertainty.
• Verification looks for discrepancy between the expert knowledge and knowledge base.
• Experts and automatic verification system use the half-marks in inference rules.
• Example: assessing the effectiveness of a security screening system at an airport.
摘要
•A new method of automatic verification of knowledge base is presented.•The method uses a multi-criteria group evaluation of variants under uncertainty.•Verification looks for discrepancy between the expert knowledge and knowledge base.•Experts and automatic verification system use the half-marks in inference rules.•Example: assessing the effectiveness of a security screening system at an airport.
论文关键词：Fuzzy inference systems,Knowledge engineering,Knowledge base verification,Fuzzy inference rules,Multi-criteria group decision-making,Security screening at an airport,Transport safety and security
论文评审过程：Received 9 October 2014, Revised 18 April 2015, Accepted 1 May 2015, Available online 11 May 2015, Version of Record 16 July 2015.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.05.004
