Publication: Fuzzy strength-based XCS: An application on multi-step environment problems
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2016
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en
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item.page.harrt.identifier.callno
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2016 Management and Innovation Technology International Conference (MITicon)
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MIT
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122-MIT-127
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Fuzzy strength-based XCS: An application on multi-step environment problems
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Abstract
This paper proposes an algorithm to perform an online fuzzy system construction was called FsXCS (Fuzzy Strength-Based XCS). FsXCS is the extended XCS system combining XCS with fuzzy logic theory to tackle the multi-step continuous input-output problems. Indeed; XCS is a great attention discrete-valued system considering from the rule generalization system. However; it becomes more difficult when extending to continuous-valued systems; and even more difficult when addressed in multi-step continuous input-output problems. In order to develop FsXCS; we propose new computation details on some XCS components while these changes do not affect the original XCS's learning procedures. The performance of FsXCS was tested on simulation classical continuous problems; n-Environment; and automatically back driving a truck. The experimental results ware compared to the tabular Q-Learing with high discretization.