Using Fuzzy Measures of Uncertainty to Manage Complex Systems
نویسنده
چکیده
A complex system usually encompasses agents, as they are known from modern Artificial Intelligence. Within the system dynamics, interactions between agents are affected by perturbations (uncertainty), which often make modeling difficult. This paper introduces a modeling approach based on a function that quantifies uncertainty: the fuzzy measure of ambiguity. A model based on ambiguity minimization has been designed, as succinctly described in this paper. The model might assist the system manager to set an optimal strategy. Copyright © 2005 IFAC
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