Affiliations: [a] College of Management and Economics, Tianjin University, Tianjin, China | [b] Business school, Shandong Jianzhu University, Jinan, Shandong, China
Correspondence:
[*]
Corresponding author: Li Zhao, College of Management and Economics, Tianjin University, Tianjin 300072, China. E-mail:lzqsly@126.com
Abstract: A crucial step in the analysis of multi-attribute group
decision-making is to determine the weights of experts and attributes, which
will pose great impacts on the result of multi-attribute group
decision-making. This paper proposes a dynamic and full process weight
evaluation method with the attribute weight and the expert weight being
taken into account. We employ three times of weight revising with the
improvement of the information conditions in the evaluation process: first
is the `ex ante evaluation', which defines a general weight coefficient
based on the importance of multiple attribute; then, `ex post evaluation' is
performed to revise weight coefficient by the entropy method based on the
difference of attribute value; finally, clustering analysis is used to
revise weight coefficient according to the discrete degree of score assigned
by the experts. The paper describes the process of the calculation in detail
and illustrates its feasibility with a practical example.
Keywords: Multi-attribute group decision-making, weight coefficient, entropy method, clustering analysis
