  A new approach, to measure normalization completeness for conceptual model,
is introduced using quantitative fuzzy functionality in this paper. We measure
the normalization completeness of the conceptual model in two steps. In the
first step, different normalization techniques are analyzed up to Boyce Codd
Normal Form (BCNF) to find the current normal form of the relation. In the
second step, fuzzy membership values are used to scale the normal form between
0 and 1. Case studies to explain schema transformation rules and measurements.
Normalization completeness is measured by considering completeness attributes,
preventing attributes of the functional dependencies and total number of
attributes such as if the functional dependency is non-preventing then the
attributes of that functional dependency are completeness attributes. The
attributes of functional dependency which prevent to go to the next normal form
are called preventing attributes.
