Abstract
Databases based on relational models support crisp and precise data. In the real world scenario, there exists a lot of uncertainty and imprecise information. Fuzzy logic breaks the rigid crisp logic boundaries and allows decisions to be taken in a more realistic manner. In this project, I have implemented a system supporting mutating events and temporal events using fuzzy active rules over XML database systems. The project included a language definition and an execution environment of timer rules in fuzzy active format for XML Databases. The language definition includes a grammar to specify timer rules, allowing fuzzy expressions in the condition part of a rule. The rule engine was developed to support the execution of rules with different types of fuzzy distributions. The project also designed and implemented the fuzzy XML system allowing fuzziness in database storage and queries. The project analyzed the system performance by comparing the execution overhead on fuzzy queries over crisp queries.