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Multiple Attribute Group Decision-Making Methods Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Partitioned

Kedong Yin1,2, Benshuo Yang3, Xuemei Li4,5

  • 1School of Economics, Ocean University of China, Qingdao 266100, China. yinkedong@ouc.edu.cn.

International Journal of Environmental Research and Public Health
|January 25, 2018
PubMed
Summary

This study introduces new methods for multiple attribute group decision making (MAGDM) using trapezoidal fuzzy two-dimensional linguistic variables. New aggregation operators improve decision accuracy by considering attribute interrelationships.

Keywords:
MAGDMpartitioned Bonferroni mean aggregation operatortrapezoidal fuzzy two-dimensional linguistic information

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