Research on Risk Evaluation of Enterprise Human Capital Investment With Interval-Valued Bipolar 2-Tuple Linguistic Information

Abstract

In this paper, we investigate the multiple attribute decision-making (MADM) problems for risk evaluation of enterprise human capital investment with interval-valued bipolar 2-tuple linguistic numbers (IVB2TLNs). Then, we propose some arithmetic and geometric aggregation operators with IVB2TLNs and analyze the characteristics of these operators. Furthermore, we present methods that apply these operators to solve the MADM problems with IVB2TLNs. Finally, a real-world example for the risk evaluation of enterprise human capital investment is used to illustrate the effectiveness of the proposed methodology.