Implementing a fuzzy relational database using community defined membership values
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Most conventional databases in use today are based on the relational model. Values in a relation are taken from a finite set of strictly typed domain values. Each relation in the database represents a proposition and each record in a relation is a statement such that it evaluates to 'true' for that proposition (e.g., [3], [5]). It could be argued, however, that this required precision actually gives an insufficient representation of the world. The model is grounded in binary black-and-white but much of reality actually exists in shades of gray. As such, the conventional relational database model has limited usefulness.
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