Abstract
For many practical intelligent decision-making applications, the “curse of dimensionality” is a serious problem; that is, the number of rules increases exponentially along with the number of input variables to the fuzzy inference system (Raju G, Zhou J, Roger A (1991) Int J Control 54(5):1201–1216 [1]).
Keywords
- Fuzzy Rule Interpolation (FRI)
- Rule-Based Refinement
- Hierarchical Fuzzy Systems
- Original Input Variables
- Sparse Rule Bases
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Jin, S., Shen, Q., Peng, J. (2019). Hierarchical Bidirectional Fuzzy Rule Interpolation and Rule Base Refinement. In: Backward Fuzzy Rule Interpolation. Springer, Singapore. https://doi.org/10.1007/978-981-13-1654-8_6
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DOI: https://doi.org/10.1007/978-981-13-1654-8_6
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