Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy
variables as antecedents and consequent to represent human-understandable knowledge …

Fuzzy rule-based systems are one of the most important areas of application of fuzzy sets
and fuzzy logic. Constituting an extension of classical rule-based systems, these have been …

Fuzzy rule-based systems (FRBSs) are proficient in dealing with cognitive uncertainties like
vagueness and ambiguity imperative to real-world decision-making situations. Fuzzy …

Fuzzy Rule Based Classification systems (FRBCs) have received significant attention
among the researchers due to the good behaviour in the real time databases. An important …

Fuzzy systems have been used widely thanks to their ability to successfully solve a wide
range of problems in different application fields. However, their replication and application …

In this contribution, we will analyse the importance of the fuzzy partition granularity for the
linguistic variables in the design of fuzzy rule-based systems (FRBSs). In order to put this …

In real world computing environment, the information is not complete, precise and certain,
making very difficult to derive an actual decision. To deal with processing and modeling of …

Artificial neural networks (ANNs) are mathematical models inspired from the biological
nervous system. They have the ability of predicting, learning from experiences and …

Fuzzy rule-based models form a commonly encountered category of fuzzy models. As such
they have enjoyed a great deal of conceptual and algorithmic developments followed by …

Over the last quarter of a century, two types of fuzzy rule-based (FRB) systems dominated,
namely Mamdani and Takagi–Sugeno type. They use the same type of scalar fuzzy sets …