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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,...
A fuzzy spatial Petri nets (FSPN) was proposed in order to describe spatial fuzzy knowledge and spatial associated effect between places and transitions. By introducing spatial associated factor, fuzzy Petri nets combined with spatial location was researched in depth to solve uncertainty factor associated with environment area and execute dynamic reasoning. Structure and signification of State associated...
For the huge amounts of data related to the atmospheric elements, the difficulty of weather forecasting is very large, which require an intelligent environment. To solve the problem, a fuzzy Petri net (FPN) model to represent knowledge and the behavior of an intelligent object-oriented database environment is proposed. In order to foresee and solve problematic behavior patterns, a static rule analysis...
The portability and immediate communication properties of mobile devices influence the learning processes in accessing resources and transferring data. The strength of mobile learning is the personalization and mobility; therefore it must support the availability of sensing contextual information about the learner and provide the learning content with mobile metadata. Based on fuzzy Petri nets, a...
Since knowledge is vague and modified frequently in a expert system, this kind of rule-based systems are fuzzy and dynamic. It is very important to design a dynamic knowledge inference framework which is adjustable according to knowledge variation as human cognition and thinking. This paper presents an adaptive fuzzy Petri net with triangular function model (AFPNT). The fuzzy production rules in the...
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