In Chap. 2, we had seen the different ways of defining fuzzy implications based on the basic fuzzy logic connectives, viz., fuzzy negations, t-norms and t-conorms. Uninorms were introduced recently by Yager and Rybalov [263] (see also Fodor et al. [106]) as generalizations of t-norms and t-conorms and are thus another fertile source based on which one can define fuzzy implications. In this chapter, after giving the necessary introduction to uninorms, taking a similar approach as was done in the previous chapter we define fuzzy implications from uninorms and discuss their basic properties. © 2008 Springer-Verlag Berlin Heidelberg.