An International Publisher for Academic and Scientific Journals
Author Login
Scholars Journal of Engineering and Technology | Volume-4 | Issue-12
Power Grid Equipment Supplier Selection Based on Cloud Model and Hesitant Linguistic Information
Yunna Wu, Kaifeng Chen, Yi Zhang
Published: Dec. 30, 2016 |
166
137
DOI: 10.21276/sjet.2016.4.12.4
Pages: 580-587
Downloads
Abstract
Power grid equipment is the guarantee of the safe and stable operation of power grids, selecting rational power
grid equipment suppliers is the focus of power grid enterprise. In order to select the equipment supplier for grid
enterprises more objectively and comprehensively, this paper proposes a power grid equipment supplier selection method
based on cloud model and hesitant linguistic information, considering the compensation effect among indicators. First,
this paper builds an evaluation index system of the equipment supplier selection. Next, using the hesitant linguistic
information with credibility to describe the indicators information, and carrying on the transformation by using cloud
model, the results of the supplier evaluation indicators can be gained. Finally, through the compensation effect among the
indicators, the evaluation results are aggregated. The proposed method can improve scientifically the power grid
equipment supplier selection evaluation system, and make the power grid enterprises choose a more reasonable selection
of equipment suppliers.