The research of the fuzzy control rules generation based on dissimilarity

Fuzzy control rules generated depends on the fuzzy segmentation of the fuzzy controller´s input and output variable space. In this paper, the dissimilarity measure is used to deal with the mixed attribute data and then obtain the DM (Dissimilarity Matrix). In order to generate fuzzy control rules, introducing variable RJij(range direction jump) to get DcM (Dissimilarity Change Rate Matrix). DM and DcM as the space of the input and output variables fuzzy segmentation. Seek fuzzy reasoning from input space to output space, generating fuzzy control rules. A numerical example is given to verify the feasibility of generating fuzzy control rules based on this method.