Digital rotor spinning involves spinning fibers that have been dope-dyed together with one of several differenthues in a manner that enables the color tuning of the resultant yarn. A small inventory of colored fibers provides access to awide gamut of shades and production of textiles in a variety of colorways. To overcome the issues with the current intelligentcolor matching system for digital rotor spinning viscose melange yarn, in this study, a digital rotor spinning frame was used tospin selected red, yellow, and blue dope-dyed viscose staple fibers into 66 types of melange yarns at a ratio gradient of 10 %. The corresponding yarns were knitted as fabric samples, and then a Datacolor650 spectrophotometer was used to performcolor testing and record the experimental data. The parameter σ of the Friele model was assigned within [0,1]. The optimalvalue of σ was 0.134 when the average color difference of the bi-component melange sample was minimal, which was usedfor the construction of a color matching system based on the Friele model. In addition, this study verifies the obtained optimalvalue of σ using the full-spectrum color matching method. The average error between the predicted ratio and actual ratio ofthe three-component melange sample was 10.21 %, while the predicted average color difference was 0.4561. This indicatesthat the empirical parameters of the Friele model obtained in this study yield a good prediction accuracy of digital rotorspinning viscose melange products.