Inexact knowledge engineering information plays vital role in decision making capabilities within latest areas of information technology. However, this information is often vague or ambiguous and very difficult to represent in implementing the application softwares, but this problem can be handled by modeling imprecision and uncertainty in conceptual data models. In this paper, we have investigated the methods of designing and implementing fuzzy information with different object modeling techniques to handle uncertain data. Also, we have described the different levels of fuzziness with all object modeling representations.

Key words:Aggregation,Association, Generalization, Fuzzy, Object Model, Possibility Theory.