With the advancement in material science and engineering, hard as well as difficult to cut materials are coming to the fore on regular basis. Machining such advanced materials with higher geometrical accuracy by conventional means is almost impossible. Thus, demand for higher accuracy with desired surface finish leads us to a large pool of non-traditional machining (NTM) processes. However, zeroing-in for a particular NTM process, for a particular operation and for a case-specific machining, is a cumbersome task. In order to make this task simpler for a decision-maker, the present research uses, fuzzy analytic hierarchy process to calculate the relative importance of various NTM processes taking product and process characteristics as the comparison basis. Finally, an overall score of various NTM processes have been obtained using quality function deployment methodology based on various shape features and work material combination. Also, the variations in the process capability features have been taken into consideration. Analysis of the present research study shows that electrochemical machining process has an edge over the other NTM processes with respect to surface finish, corner radii, minimum surface damage depth, and production time.