Intersection Search for a Fuzzy Petri Net-Based Knowledge Representation Scheme

Authors:
Slobodan Ribarić;Nikola Pavešić;Valentina Zadrija
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia;Faculty of Electrical Engineering, University of Ljubljana, Slovenia;Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Year:
2009

Citing 11
Cited 0

The mathematics of inheritance systems

The mathematics of inheritance systems
Fuzzy Petri nets for rule-based decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Petri Net Theory and the Modeling of Systems

Petri Net Theory and the Modeling of Systems
Semantic Networks: An Evidential Formalization and Its Connectionist Realization

Semantic Networks: An Evidential Formalization and Its Connectionist Realization
Knowledge Representation Using Fuzzy Petri Nets

IEEE Transactions on Knowledge and Data Engineering
Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets

IEEE Transactions on Knowledge and Data Engineering
Inference via Fuzzy Belief Petri Nets

ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
INFERENCE PROCEDURES FOR FUZZY KNOWLEDGE REPRESENTATION SCHEME

Applied Artificial Intelligence
Modeling uncertainty reasoning with possibilistic Petri nets

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Knowledge Representation Using High-Level Fuzzy Petri Nets

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A reasoning algorithm for high-level fuzzy Petri nets

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes the intersection search as an inference procedure for a knowledge representation scheme based on the theory of Fuzzy Petri Nets. The procedure uses the dynamical properties of the scheme. The relationships between the concepts of interest, obtained by the intersection search algorithm, are accompanied by the value of the linguistic variable expressing the assurance for the relations. An illustrative example of the intersection search procedure is provided.