Research Article

Detecting Falsified Financial Statements Using a Hybrid SM-UTADIS Approach : Empirical Analysis of Listed Traditional Chinese Medicine Companies in China

Table 4

Forecasting results with the trained SM-UTADIS model (testing dataset).

Considered companyYearActual classUtility valueEstimated class

A12002C10.349590C1
2004C10.349710C1
2010C10.358811C1
2012C10.386387C1

A22005C10.350307C1
2006C10.380931C1
2008C10.357234C1
2014C10.312229C2

A32004C10.352612C1
2009C10.350430C1
2011C10.351601C1
2014C10.365781C1

Utility threshold t0.349489

A12006C20.316715C2
2008C20.353189C1

A22010C20.325583C2
2012C20.339748C2

A32007C20.345021C2
2013C20.050622C2