The Multi-Attribute Group Decision-Making Method Based on Interval Grey Trapezoid Fuzzy Linguistic Variables.

Journal: International journal of environmental research and public health
Published Date:

Abstract

With respect to multi-attribute group decision-making (MAGDM) problems, where attribute values take the form of interval grey trapezoid fuzzy linguistic variables (IGTFLVs) and the weights (including expert and attribute weight) are unknown, improved grey relational MAGDM methods are proposed. First, the concept of IGTFLV, the operational rules, the distance between IGTFLVs, and the projection formula between the two IGTFLV vectors are defined. Second, the expert weights are determined by using the maximum proximity method based on the projection values between the IGTFLV vectors. The attribute weights are determined by the maximum deviation method and the priorities of alternatives are determined by improved grey relational analysis. Finally, an example is given to prove the effectiveness of the proposed method and the flexibility of IGTFLV.

Authors

  • Kedong Yin
    School of Economics, Ocean University of China, Qingdao 266100, China. yinkedong@ouc.edu.cn.
  • Pengyu Wang
    School of Economics, Ocean University of China, Qingdao 266100, China. wangpengyu@stu.ouc.edu.cn.
  • Xuemei Li
    School of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.