This paper considers the problem of decentralized fuzzy control of multivariable systems. Some definitions and theorems with regard to this problem are given. Decentralized fuzzy control algorithms, based on active decomposition of control laws, are presented and illustrated by numerical examples. The algorithms use local sets of fuzzy relations, decoupling the influence of state on control variables when added to the original fuzzy relations. It is shown that the number of fuzzy relations is significantly reduced and thus real-time control implementation is facilitated.