Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map

作者：

Highlights：

• Integrated approach of TM, LSA, FARM, and FCM for futuristic-data driven scenarios.

• TM and LSA efficiently extract scenario concepts from futuristic data.

• FARM identifies causal weights among scenario concepts.

• FCM analyzes static importance of concepts and dynamic inference mechanisms.

摘要

•Integrated approach of TM, LSA, FARM, and FCM for futuristic-data driven scenarios.•TM and LSA efficiently extract scenario concepts from futuristic data.•FARM identifies causal weights among scenario concepts.•FCM analyzes static importance of concepts and dynamic inference mechanisms.

论文关键词：Scenarios,Fuzzy cognitive map,Futuristic data,Text mining,Fuzzy association rule mining,Electric vehicle

论文评审过程：Received 14 December 2015, Revised 24 March 2016, Accepted 25 March 2016, Available online 29 March 2016, Version of Record 12 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.043