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

Guiwu Wei · Hui Gao · Jie Wang · Yu-Han Huang

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Multi-Criteria Decision Making Fuzzy and Soft Set Theory Evaluation Methods in Various Fields

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.

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References

1965Fuzzy sets 1996Fuzzy sets 1986Intuitionistic fuzzy sets 1988On ordered weighted averaging aggregation operators in multicriteria decisionmaking 2007Intuitionistic Fuzzy Aggregation Operators 2006Some geometric aggregation operators based on intuitionistic fuzzy sets 2000Linguistic decision analysis: steps for solving decision problems under linguistic information 1999Induced ordered weighted averaging operators

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