Kinetic structures offer the means to significantly expand the functional and performance features of traditionally static architectural solutions. However, the added element of motion creates considerable challenges during conceptualization and introduction into existing design workflows. Rigidly foldable shells offer tremendous potential for developing kinetic architectural structures. They require few support points, eliminate sliding overlaps and are relatively easy to mock up as initial concepts. Achieving the desired motion range, however, requires a significant design effort. If performed manually, the motion optimization is tedious and unpredictable. This paper examines possible optimization algorithmic strategies with the use of fuzzy logic. Specifically the paper focuses on the application of fuzzy logic as a tool for effectively negotiating modifications of complex linked geometries while using intuitive, high level statements and directives. Highlighted is the potential of fuzzy logic-based algorithms as tools that can help the transition of existing design workflows into environments that can handle extended challenges involving kinetic geometries.