Deriving incremental production rules for deductive data
Information Systems
Static analysis techniques for predicting the behavior of active database rules
ACM Transactions on Database Systems (TODS)
An algebraic approach to static analysis of active database rules
ACM Transactions on Database Systems (TODS)
Analysis and optimization of active databases
Data & Knowledge Engineering
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
Knowledge Representation Using Fuzzy Petri Nets-Revisited
IEEE Transactions on Knowledge and Data Engineering
Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Deriving Production Rules for Constraint Maintainance
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Improving Rule Analysis by Means of Triggering and Activation Graphs
RIDS '95 Proceedings of the Second International Workshop on Rules in Database Systems
On the Unification of Active Databases and Deductive databases
BNCOD 11 Proceedings of the 11th British National Conference on Databases: Advances in Databases
Refined rules termination analysis through transactions
Information Systems
Investigating Termination in Active Database Systems with ExpressiveRule Languages
Investigating Termination in Active Database Systems with ExpressiveRule Languages
IFOOD: An Intelligent Fuzzy Object-Oriented Database Architecture
IEEE Transactions on Knowledge and Data Engineering
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Coping with Uncertainty in a Location-Based Game
IEEE Pervasive Computing
A reasoning algorithm for high-level fuzzy Petri nets
IEEE Transactions on Fuzzy Systems
Fuzzy reasoning supported by Petri nets
IEEE Transactions on Fuzzy Systems
A generalized fuzzy Petri net model
IEEE Transactions on Fuzzy Systems
Data & Knowledge Engineering
Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters
Expert Systems with Applications: An International Journal
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Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy Petri net (FPN) model to represent knowledge and the behavior of an intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. The behavior of a system can be unpredictable due to the rules triggering or untriggering each other (non-termination). Intermediate and final database states may also differ according to the order of rule executions (non-confluence). In order to foresee and solve problematic behavior patterns, we employ a static rule analysis on the FPN structure that provides easy checking of the termination property without requiring any extra construct. In addition, with our proposed fuzzy inference algorithm, we guarantee confluent rule executions. The techniques and solutions provided in this study can be used in various complex systems, such as weather forecasting applications, environmental information systems, defense applications.