A novel consensus model for multi-attribute large-scale group decision making based on comprehensive behavior classification and adaptive weight updating

作者：

Highlights：

• Comprehensively classify modification behaviors of decision makers into 3 categories using the constructed cooperative index and non-cooperative index.

• Uninorm aggregation operator is used for decision weight updating, laying either reward or penalty on decision makers in accordance with their modification behavior.

• In order to lay stricter behavior supervision on highly-weighted clusters, the adaptive weight updating scheme is formulated based on a uninorm aggregation operator with floating neutral element.

摘要

•Comprehensively classify modification behaviors of decision makers into 3 categories using the constructed cooperative index and non-cooperative index.•Uninorm aggregation operator is used for decision weight updating, laying either reward or penalty on decision makers in accordance with their modification behavior.•In order to lay stricter behavior supervision on highly-weighted clusters, the adaptive weight updating scheme is formulated based on a uninorm aggregation operator with floating neutral element.

论文关键词：Multi-attribute large-scale group decision making,Consensus reaching process,Comprehensive behavior classification,Adaptive weight updating

论文评审过程：Received 18 September 2017, Revised 11 April 2018, Accepted 1 June 2018, Available online 6 June 2018, Version of Record 6 July 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.06.002