The design and application of neural networks are examined in the context of a specific decision-making problem, the selection of an appropriate layout for a rural natural gas distribution system. The neural networks considered exploit one-stage classes of single-layer and multilayer architectures driven by logical constructs arising from the theory of fuzzy sets. The application is a multicriterion optimization problem. The neural networks' ability to model the decision-making process is illustrated with an example set of alternative layouts of rural natural gas systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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