Possibility degree and divergence degree based method for interval-valued intuitionistic fuzzy multi-attribute group decision making

作者：

Highlights：

• The possibility degree and divergence degree of IVIFVs are defined to rank IVIFVs.

• To derive DMs' weights, an intuitionistic fuzzy linear program is constructed.

• An adjusted possibility distribution matrix for each attribute is established.

• Attribute weights are determined by the adjusted possibility distribution matrices.

• A new method is proposed for interval-valued intuitionistic fuzzy MAGDM.

摘要

•The possibility degree and divergence degree of IVIFVs are defined to rank IVIFVs.•To derive DMs' weights, an intuitionistic fuzzy linear program is constructed.•An adjusted possibility distribution matrix for each attribute is established.•Attribute weights are determined by the adjusted possibility distribution matrices.•A new method is proposed for interval-valued intuitionistic fuzzy MAGDM.

论文关键词：Interval-valued intuitionistic fuzzy set,Possibility degree,Divergence degree,Multi-attribute group decision making

论文评审过程：Received 17 December 2018, Revised 8 August 2019, Accepted 5 September 2019, Available online 7 September 2019, Version of Record 19 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112929