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In order to exploit the massive image information and to handle overload, techniques for analysing image content to facilitate indexing and retrieval of images have emerged. In this paper, a semantic image content analysis framework based on Fuzzy Petri Net is presented. Knowledge scheme is used to define more general and complex semantic concepts and their relations in the context of the examined...
To reach the high reliability of flight control software of unmanned aerial vehicle (UAV), it is required to design a fault diagnosis expert system in flight control system. Our main contribution to this work is in providing a fuzzy Petri Nets approach for modeling the fault diagnosis of flight control system. The systematic rule-based knowledge is obtained from human expertise and the fault diagnosis...
An object-oriented implementation of an original model of knowledge representation scheme is described in the paper. The model is based on the high-level Fuzzy Petri nets and supports three forms of reasoning: inheritance, recognition and intersection search. The model is suitable for knowledge base and inference machine design in intelligent systems for real-world tasks that deal with fuzzy, vague,...
We present results for the formalism of extended fuzzy Petri Nets by enriching the enabling and firing rule by introducing the so-called weights and thresholds in order to filter the propagated knowledge. It is shown that knowledge propagation described using such extended fuzzy Petri nets still terminates in a unique stable state. Based on this result, the paper introduces an algorithm for knowledge...
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