CODAS methods for multiple attribute group decision making with interval-valued bipolar uncertain linguistic information and their application to risk assessment of Chinese enterprises’ overseas mergers and acquisitions

Bipolar fuzzy set theory has been successfully applied in some areas, but there are situations real life which can’t be represented by bipolar sets. However, all the existing approaches unsuitable to describe positive and negative membership degree an element uncertain linguistic label have interval value, can reflect decision maker’s confidence level when they making evaluation. In order overcome this limit, we propose definition of interval-valued sets (IVBULSs) solve problem based on information processing models. paper, extend traditional aggregating operators IVBUL operators. Then, CODAS method multiple attribute group (MAGDM) issues with numbers (IVBULNs) these An example for risk assessment Chinese enterprises’ overseas mergers acquisitions (M&As) is given illustrate proposed methodology.