Process fuzzy data for triggers and constraints in active object oriented databases

Abstract The object-oriented database management system has great promise as a future database technology because of its superior complex data structure manipulation, rich class structure, integration potential, and data reusability. An active database is another evolving technology which can generate new knowledge, execute commands, and maintain system integrity by means of triggers, constraints, and inference rules. Adding constraints and triggers into an object-oriented database creates an active object-oriented database which performs dynamic behaviors. However, both triggers and constraints may process data that arc qualitative, inexact, or uncertain. In this case, a fuzzy logic system may be utilized to improve performance by replacing fuzzy if-then rules as triggers or constraints. This study proposes adding a fuzzy class to the class library to solve fuzzy information problems.

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