This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …

Abstract Evolutionary Fuzzy Systems are a successful hybridization between fuzzy systems
and Evolutionary Algorithms. They integrate both the management of imprecision …

Evolutionary fuzzy systems are one of the greatest advances within the area of
computational intelligence. They consist of evolutionary algorithms applied to the design of …

The interests in multiobjective and many-objective optimization have been rapidly
increasing in the evolutionary computation community. However, most studies on …

Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …

To approximate the Pareto front, most existing multiobjective evolutionary algorithms store
the nondominated solutions found so far in the population or in an external archive during …

The optimization of energy consumption, with consequent costs reduction, is one of the main
challenges in present and future smart grids. Of course, this has to occur keeping the living …

This article is about explainable artificial intelligence (XAI) for rule-based fuzzy systems [that
can be expressed generically, as]. It explains why it is not valid to explain the output of …

Fuzzy planar graph is a very important subclass of fuzzy graph. In this paper, two types of
edges are mentioned for fuzzy graphs: effective edges and considerable edges. In addition …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …