A 2-order additive fuzzy measure identification method based on intuitionistic fuzzy sets and its application in credit evaluation

In view of the problem that it is difficult to quantitatively assess interactivity between attributes in identification process 2-order additive fuzzy measure, this work uses intuitionistic sets (IFSs) describe and deal with attributes. Firstly, defined by supermodular game theory. On basis, experts employ number (IFN) attributes, Secondly, opinions all are aggregated using weighted average operator (IFWA). Finally, based on results, interaction degree calculated score function IFN. Thus, a measure method IFSs further proposed. Based proposed method, Choquet integral as nonlinear integration operator, multi-attribute decision making (MADM) presented. Taking credit evaluation big data listed companies China an application example, feasibility effectiveness verified analysis results example.