Abstract

This chapter contains sections titled: Fuzzy rules as a vehicle of knowledge representation General categories of fuzzy rules and their semantics Syntax of fuzzy rules Basic functional modules: rule base, database, and inference scheme Types of rule-based systems and architectures Approximation properties of fuzzy rule-based models Development of rule-based systems Parameter estimation procedure for functional rule-based systems Design issues of rule-based systems - consistency, completeness, and the curse of dimensionality The curse of dimensionality in rule-based systems Development scheme of fuzzy rule-based models Conclusions Exercises and problems Historical notes References

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