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Because of the environmental uncertainties, fuzzy behavior systems have been proposed.
Credibility theory was propounded by Liu in 2004 as a branch of mathematics for studying the fuzzy behavior [23].
We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks.
Controllers using adaptive fuzzy behavior hierarchies have previously been shown to provide effective control for robots tasked with multiple concurrent tasks.
Simulations, experiments, and analysis of the VWA implemented on top of a preference-based fuzzy behavior system demonstrate the effectiveness of the proposed method.
This paper presents the design of a preference-based fuzzy behavior system for navigation control of robotic vehicles using the multivalued logic framework.
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Various behaviors in the fuzzy behavior-based architecture are evolved by genetic algorithm (GA).
In this paper, the evolution of a fuzzy behavior-based architecture is discussed.
This fuzzy perception is used, both in the design of each reactive behavior and solving the problem of behavior combination, to implement a fuzzy behavior-based control architecture.
Then, we propose a fuzzy port behavior analysis method to divide MPCP into multiple zones with each zone representing different network behavior and corresponding network applications.
The figure gives a three-dimensional view of the fuzzy logic behavior.
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