Fuzzy Databases: Modeling, Design And Implementation by Jose Galindo

By Jose Galindo

Fuzzy Databases: Modeling, layout and Implementation specializes in a few semantic points that have no longer been studied in earlier works and extends the EER version with fuzzy services. The uncovered version is named FuzzyEER version, and a few of the studied extensions are: fuzzy attributes, fuzzy aggregations and diverse facets on specializations, similar to fuzzy levels, fuzzy constraints, and so on. a lot of these fuzzy extensions provide better expressiveness in conceptual layout. Fuzzy Databases: Modeling, layout and Implementation additionally proposes a style to translate FuzzyEER version to a classical DBMS, and defines FSQL (Fuzzy SQL), an extension of the SQL language that permits clients to jot down versatile stipulations in queries, utilizing all extensions outlined through the FuzzyEER version. This booklet, whereas supplying a world and built-in view of fuzzy database structures, serves as an creation to fuzzy good judgment, fuzzy databases and fuzzy modeling in databases.

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64) Thus, the fulfillment degree is Q(φ). If the function of the quantifier (absolute or relative) Q(φ) has the value 1, this quantifier is completely satisfied. The value 0, on the other hand, indicates that the quantifier is not fulfilled at all. Any intermediate value indicates an intermediate fulfillment degree for the quantifier. 2b) with m = 8 and margin = 2, for example. 26. * Two classic quantifiers are very important: The universal quantifier (for all, ∀) and the existential quantifier (exist, ∃).

Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 34 Galindo, Urrutia & Piattini Fuzzy relations can be composed with the addition of different operators to sets. 53) Fuzzy Numbers The concept of fuzzy numbers was first introduced in Zadeh (1975a, 1975b, 1975c) with the purpose of analyzing and manipulating approximate numeric values, for example “near 0,” almost 5,” and so forth. The concept has since been refined (Dubois & Prade, 1980, 1985b), and several definitions exist.

Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 46 Galindo, Urrutia & Piattini The models exposed include various approaches that do not utilize the fuzzy logic, such as the “classical” Codd approach (1979, 1986, 1987, 1990), the Prade-Testemale model (1984, 1987a, 1987b; Prade, 1984), the UmanoFukami model (Umano, 1982, 1983; Umano & Fukami, 1994), the BucklesPetry model (1982a, 1982b, 1984), the Zemankova-Kandel model (Zemankova-Leech & Kandel, 1984, 1985), and the GEFRED model of Medina-Pons-Vila (1994; Medina, 1994; Galindo, Medina, Cubero, & Pons, 1999, 2001b).

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