A two-phase fuzzy approach for solving multi-level decision-making problems

作者：

Highlights：

• A two-phase fuzzy goal programming (FGP) approach is developed for MLLP problems.

• The first phase finds the solutions to satisfy decision makers in MLLP problems.

• An adjustment scheme is then proposed to adjust the relative satisfaction.

• Each DM can have the satisfaction degree that meets the requirement for MLLP problems.

摘要

•A two-phase fuzzy goal programming (FGP) approach is developed for MLLP problems.•The first phase finds the solutions to satisfy decision makers in MLLP problems.•An adjustment scheme is then proposed to adjust the relative satisfaction.•Each DM can have the satisfaction degree that meets the requirement for MLLP problems.

论文关键词：Fuzzy mathematical programming,Multi-level linear programming,Fuzzy goal programming,Fuzzy sets,Fuzzy decision-making

论文评审过程：Received 5 June 2014, Revised 9 November 2014, Accepted 13 December 2014, Available online 20 December 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.12.016