FUZZY INFORMATION IN EXTENDED FUZZY RELATIONAL DATABASES

The queries on type-2 fuzzy relational databases may get non-reasonabl e answers, and as pointed out by Buckles, a tuple's membership value i s not static but is a measure of the appropriateness of that tuple to a given query. Here, we use two supplementary attributes mu(r) and I-e to model the concepts of fuzziness and uncertainty, respectively. We also use these two attribute values to compute the appropriateness of a tuple to a given query. In this paper, the proposed fuzzy relational model is defined by first-order logical. In our proposed model, the c lassical properties of the database, which are (1) database interpreta tion being redundant-free, being uniquely-determined and (2) the well- definedness of relational algebra, are preserved for the fuzzy relatio nal algebra. Therefore, the proposed fuzzy relational model can captur e more meaning than the conventional approaches and is more suitable t o handle the real-life application. (C) 1997 Elsevier Science B.V.