Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …

Complex fuzzy theory has strong practical background in many important applications,
especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy …

A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning
method (FRM) since it infers the class predicted for new examples. A crucial stage in any …

This article proposes the Mamdani complex fuzzy inference system (Mamdani CFIS) to
improve performance of the classical FIS and complex FIS. The applicability of the proposed …

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 …

Wang–Mendel (WM) fuzzy system is an effective and interpretable model for solving tabular
data classification problem. However, original WM fuzzy system is weak in handling dataset …

This article investigates the feasibility of applying the broad learning system (BLS) to realize
a novel Takagi–Sugeno–Kang (TSK) neuro-fuzzy model, namely a broad learning based …

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

The study of fuzzy relations forms an important fundamental of fuzzy reasoning. Among all,
the research on compositional fuzzy relations by Bandler and Kohout, or the Bandler …

Abstract Fuzzy Knowledge Graph (FKG) has recently been emerging as one of the key
techniques for supporting classification and decision-making problems. FKG is a novel …