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In this paper, fuzzy logic theory is used to build a specific decision-making system for heuristic search algorithms. Such algorithms are typically used for expert systems. To improve the performance of the overall system, a set of important parameters of the decision-making system is identified. Two optimization methods for the learning of the optimum parameters, namely genetic algorithms and gradient-descent techniques based on a neural network formulation of the problem, are used to obtain an improvement of the performance. The decision-making system and both optimization methods are tested on a target recognition system
Published in:
Fuzzy Systems, IEEE Transactions on
(Volume:3
,
Issue:
3
)
Date of Publication: Aug 1995
- Page(s):
- 300 - 312
- ISSN :
- 1063-6706
- INSPEC Accession Number:
- 5049771
- Digital Object Identifier :
- 10.1109/91.413235
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Aug 1995
- Sponsored by :
- IEEE Computational Intelligence Society
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