The selection of suitable machining parameters is an important task to obtain a suitable surface finish at the least possible tool wear when machining metal matrix nanocomposites. The aim of this work is to predict the appropriate cutting parameters for machining of metal matrix nanocomposites through dry turning operations using uncoated carbide inserts to produce the desired surface roughness at minimum tool wear. Al/SiC metal matrix nanocomposites are employed in experimentation, utilizing five different volume percent of SiC nanoparticulates. Practical investigation is performed through dry turning operations that are conducted at different values of cutting speed, feed and depth of cut. A fuzzy logic control system is developed to predict both surface roughness and tool wear result as a function of the cutting parameters and the different volume percent of nanoparticulates under experimental consideration. The results of the fuzzy logic control system are compared with the obtained experimental results. The predicted values have an average accuracy of 90% in case of surface finish and 80% in case of flank tool wear. Thus, a fuzzy logic control system can be used to predict both surface roughness and tool wear in turning of such materials under the considered range of conditions.