Missing data is a large-scale challenge to research and investigate. It reduces the statistical power produces negative consequences that may introduce selection bias on data. Many approaches handle this problem have been introduced. The main suggested are either missing values be ignored (removed) or imputed (filled in) with new values. This paper uses second method. Possible worlds possible c...

IntroductIon Functional dependencies represent a fundamental concept in the design of a database since they are capable of capturing some semantics of the data strongly connected with the occurrence of redundancy in a database. The development of applications working on fuzzy and multimedia databases has required the extension of the functional dependency notion to these new types of data. Unfo...