Developing dynamic intuitionistic normal fuzzy aggregation operators for multi-attribute decision-making with time sequence preference

作者：

Highlights：

• Decision-making based on dynamic intuitionistic normal fuzzy aggregation operators and time sequence preference.

• A time-sequence weight calculation in line with time sequence preference is introduced.

• Two novel dynamic intuitionistic normal fuzzy aggregation operators are proposed.

• Giving the final decision-making result in accordance with the VIKOR method.

摘要

•Decision-making based on dynamic intuitionistic normal fuzzy aggregation operators and time sequence preference.•A time-sequence weight calculation in line with time sequence preference is introduced.•Two novel dynamic intuitionistic normal fuzzy aggregation operators are proposed.•Giving the final decision-making result in accordance with the VIKOR method.

论文关键词：Time sequence preference,DINFA operators,Time degree,Information entropy,VIKOR method

论文评审过程：Received 10 August 2016, Revised 13 March 2017, Accepted 14 March 2017, Available online 12 April 2017, Version of Record 19 April 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.066