The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods

作者：

Highlights：

• We brought the Hellinger distance to the context of Multicriteria Decision Making.

• We adapted the TOPSIS and TODIM methods to directly process probability distributions.

• Both methods were illustrated in two examples with promising results.

摘要

•We brought the Hellinger distance to the context of Multicriteria Decision Making.•We adapted the TOPSIS and TODIM methods to directly process probability distributions.•Both methods were illustrated in two examples with promising results.

论文关键词：Hellinger distance,Multicriteria Decision Making (MCDM),Probability distribution,Stochastic dominance degree,TOPSIS,TODIM

论文评审过程：Available online 27 January 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.015