The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

In 2013, Barrenechea et al. used the Choquet integral as an aggregation function in the
fuzzy reasoning method (FRM) of fuzzy rule-based classification systems. After that, starting …

In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …

This paper presents a detection scheme for DC side short-circuit faults of photovoltaic (PV)
arrays that consist of multiple PV panels connected in a series/parallel configuration. Such …

The inductive learning of fuzzy rule-based classification systems suffers from exponential
growth of the fuzzy rule search space when the number of patterns and/or variables …

Classification with big data has become one of the latest trends when talking about learning
from the available information. The data growth in the last years has rocketed the interest in …

Security policies of information systems and networks are designed for maintaining the
integrity of both the confidentiality and availability of the data for their trusted users …

Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever
since have been a center of many discussions, fervently admired and condemned. Both …

This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-
based classification systems. First, we propose two heuristic methods for rule weight …