A fuzzy representation of data for relational databases

Consistent data operations for multi-databases in extended possibility-based data models

“…Different relation and different associated thresholds may either induce different equivalence classes, or yield different degree of closeness for a single pair of attribute values. Either equivalence classes (Buckles & Petry, 1982;Shenoi & Melton, 1989) or the closeness of attribute values (Chen et al, 1993;Chen, Vandenbulcke, & Kerre, 1992;Guu, Pang, & Liu, 2002;Ma, Zhang, & Ma, 2000;Rundensteiner, Hawkes, & Bandler, 1989) serves as the basis of data redundancy in various fuzzy database models (Buckles & Petry, 1982;Rundensteiner et al, 1989;Shenoi & Melton, 1989).…”

“…Since the introduction of fuzzy set theory in 1965 (Zadeh, 1965), the fuzzy concept has been applied to various domains, including decision-making procedure (Lin, Hsu, & Sheen, 2007), financial analysis (McIvor, McCloskey, Maguire, & Humphreys, 2004), decision support system (Kulak, 2005) and databases (Buckles & Petry, 1982). The database with fuzzy concept is regarded as an important role in building real-world data to expert systems (Zemankova-Leech & Kandel, 1984) and artificial intelligence (Melton & Shenoi, 1991).…”

Translations and similarity-based logic programming

“…An important feature of such a kind of inference is the fact that the similarity is de®ned between symbols in the alphabet of the language instead of in the set of the interpretations. A resemblance can be found with a similarity-based approach proposed in the framework of relational databases [3], where the membership value of a tuple belonging to a response relation to a query is computed on the basis of a similarity de®ned over the domain. An abstract approach to similarity-based logic has been proposed in [9].…”

Semantic measure of fuzzy data in extended possibility-based fuzzy relational databases

“…As far as the semantic measure of two fuzzy data is concerned, one could identify the following three major features: Ž . i Fuzzy data is represented by a set of values over an attribute domain, on which a similarity relation is defined. 2 …”