An approach for facility location selection based on optimal aggregation operator

作者：

Highlights：

• The GILSCA operator considers the interactive phenomenon among experts (or attributes).

• 2-tuple linguistic representation is given to avoid the loss of interval linguistic information.

• The GILSCA operator illustrates a new type of optimal aggregation which is based on chi-square deviation.

• Some effective formulae and programming models are provided to determine the fuzzy measure.

摘要

•The GILSCA operator considers the interactive phenomenon among experts (or attributes).•2-tuple linguistic representation is given to avoid the loss of interval linguistic information.•The GILSCA operator illustrates a new type of optimal aggregation which is based on chi-square deviation.•Some effective formulae and programming models are provided to determine the fuzzy measure.

论文关键词：Group decision making,Shapley value,2-tuple linguistic representation,Aggregation operator

论文评审过程：Received 16 July 2014, Revised 1 May 2015, Accepted 3 May 2015, Available online 11 May 2015, Version of Record 16 July 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.05.001