We prove necessary optimality conditions of Pontryagin type for a class of fuzzy fractional optimal control problems with the fuzzy fractional derivative described in the Caputo sense. The new results are illustrated by computing the extremals of three fuzzy optimal control systems, which improve recent results of Najariyan and Farahi.2010 Mathematics Subject Classification. Primary: 26A33, 93C42; Secondary: 49K05. 1 2 O. S. FARD, J. SOOLAKI AND D. F. M. TORRESnonlinear systems are proposed based on the framework of the Takagi-Sugeno (T-S) fuzzy model originated from fuzzy identification [38]. Moreover, for most of the T-S modelled nonlinear systems, fuzzy control design is carried out by the aid of the parallel distributed compensation (PDC) approach [42]. However, it is still possible to enumerate all works that establish necessary optimality conditions for the fuzzy calculus of variations or fuzzy optimal control: see [8,10,11,12,26,27,36,37].In [26,27], Najariyan and Farahi obtain necessary optimality conditions of Pontryagin type for a very special case of fuzzy optimal control problems, using α-cuts and presentation of numbers in a more compact form by moving to the field of complex numbers. The authors of [26,27] study the following fuzzy optimal control problem subject to a time-invariant linear control system: