Affiliation:
1. College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China
2. Centre for Computational Intelligence, De Montfort University, Leicester LE1 9BH, UK
Abstract
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.
Funder
Education Department of Henan Province
Subject
General Engineering,General Mathematics
Cited by
2 articles.
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