Heuristics are an efficient means for solving complex and also partial information business problems. Unfortunately, the development of new heuristics and the evaluation of existing heuristics is a labor intensive process. Neural networks provide a fast and reliable method for evaluation of new heuristics against existing heuristics and the optimization of new heuristics when no prior heuristic exists. This chapter describes a methodology for utilizing neural networks as a heuristic evaluation mechanism and discusses how existing research has been utilized (possibly unintentionally) in the development or evaluation of new heuristics.
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Walczak, S. (2008). Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks. In: Phillips-Wren, G., Ichalkaranje, N., Jain, L.C. (eds) Intelligent Decision Making: An AI-Based Approach. Studies in Computational Intelligence, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76829-6_10
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