Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE
作者：
Highlights：
• Propose a time-aware approach to predict trustworthiness ranking of cloud services.
• Employ INNs to assess performance-costs and potential risks of cloud services.
• Propose new INS operators to compute possibility degree and ranking values of INNs.
• Exploit ordering relations between services to identify similar users based on KRCC.
• Obtain high prediction accuracy by developing an improved ELECTRE method via INS.
摘要
•Propose a time-aware approach to predict trustworthiness ranking of cloud services.•Employ INNs to assess performance-costs and potential risks of cloud services.•Propose new INS operators to compute possibility degree and ranking values of INNs.•Exploit ordering relations between services to identify similar users based on KRCC.•Obtain high prediction accuracy by developing an improved ELECTRE method via INS.
论文关键词：Cloud services,ELECTRE,Interval neutrosophic set,Ranking prediction,Time-aware,Trustworthiness
论文评审过程：Received 22 September 2016, Revised 16 September 2017, Accepted 21 September 2017, Available online 27 September 2017, Version of Record 13 November 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2017.09.027
