Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index

作者：

Highlights：

• A new consistency index (KCI) for fuzzy pairwise comparison matrix is proposed.

• A comparison study shows that KCI performs faster than Ohnishi’s index.

• An optimal solution of the MCDM problem is computed using fuzzy AHP.

• Decision makers can save a substantial amount of time by adopting KCI.

摘要

•A new consistency index (KCI) for fuzzy pairwise comparison matrix is proposed.•A comparison study shows that KCI performs faster than Ohnishi’s index.•An optimal solution of the MCDM problem is computed using fuzzy AHP.•Decision makers can save a substantial amount of time by adopting KCI.

论文关键词：Multiple criteria decision-making,Analytic hierarchy process (AHP),Fuzzy logic,Consistency,Decision analysis

论文评审过程：Received 13 February 2018, Revised 2 August 2018, Accepted 11 September 2018, Available online 27 September 2018, Version of Record 5 December 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.09.015