engleski

Improving Textile Colour Matching Using Fuzzy Logic

Fuzzy systems are appropriate if sufficient expert knowledge about the process is available and provides a powerful framework for expert knowledge representation. Fuzzy system can be developed and used to control the complex processes where accurate mathematical models cannot give the satisfactory performance, such as Kubelka-Munk based colour matching system. The problem arises from fact that these controllable variables and uncontrollable factors interact in a complex way. In this paper the results of fuzzy logic application in new fields of technological resources are illustrated. Kubelka-Munk based approach versus fuzzy logic based approach was tested in order of exposing main differences between these two approaches and illustrating possibilities of fuzzy logic use in colour matching.

colour matching; fuzzy logic; Kubelka-Munk

nije evidentirano