A decision framework with nonlinear preferences and unknown weight information for cloud vendor selection

作者：

Highlights：

• A nonlinear decision approach is put forward for CVS.

• Attributes are transformed to polynomial space from the linear fuzzy space.

• Weights of attributes are determined by using CRITIC in the non-linear space.

• Personalized ranking is obtained with nonlinear WASPAS and rank fusion.

• Usefulness is validated via a cloud vendor selection case example.

摘要

•A nonlinear decision approach is put forward for CVS.•Attributes are transformed to polynomial space from the linear fuzzy space.•Weights of attributes are determined by using CRITIC in the non-linear space.•Personalized ranking is obtained with nonlinear WASPAS and rank fusion.•Usefulness is validated via a cloud vendor selection case example.

论文关键词：Cloud vendor selection,CRITIC method,Non-linear decision-making,WASPAS method

论文评审过程：Received 22 March 2022, Revised 29 September 2022, Accepted 3 October 2022, Available online 8 October 2022, Version of Record 12 October 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118982