Weight Analysis for Multiattribute Group Decision-Making with Interval Grey Numbers Based on Decision-Makers’ Psychological Criteria
To address the problem of multiattribute group decision-making with interval grey numbers, decision matrices are adjusted using kernels of interval grey numbers to reduce the psychological effects of decision-makers. The comprehensive weights of attributes are obtained by aggregating the subjective weights with objective weights, which are calculated based on the accuracy and difference of attributes. Considering the consistent, best, and worst decision-making abilities of decision-makers, grey incidence models are established to obtain the consistency weights and individual bipolar weights of decision-makers; then, the comprehensive weights of decision-makers are determined. A clustering approach of interval grey numbers is presented, and overall evaluations are obtained. Finally, an example is provided and its validity is tested to verify the feasibility of the proposed method.
open access article
Citation : Guo, S., Liu, J. and Yang, Y. (2020) Weight analysis for multiattribute group decision-making with interval grey numbers based on decision-makers’ psychological criteria. Mathematical Problems in Engineering.
ISSN : 1024-123X
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes