Selection of Dimensionless Methods in the Back-to-Back Brand Valuation

By focusing on the impact of dimensionless methods on the indicator data results obtained in brand valuation, this paper analyzes the specific performance of various linear dimensionless methods in terms of the preservation and expansion of the differences among raw data by using different linear dimensionless methods, with the linear weighted method as reference and the maximum expansion of the indicator data of the evaluated brands as orientation. Several important conclusions are obtained about the method selection in the homogenized data processing by computer operation, which provide a basis for the selection of dimensionless methods in a scientific way during the brand valuation.