Many search strategies have been exploited for the task of feature selection (FS), in an effort
to identify more compact and better quality subsets. Such work typically involves the use of …

Fuzzy rule interpolation offers a useful means to enhancing the robustness of fuzzy models
by making inference possible in sparse rule-based systems. However, in real-world …

Traditional fuzzy reasoning techniques demand a condensed fuzzy rule base to conclude a
result. Still, due to incomplete data or a deficiency of expertise and knowledge, dense rule …

In this paper, we propose a new weighted fuzzy interpolative reasoning method for sparse
fuzzy rule-based systems based on the slopes of fuzzy sets. We also propose a particle …

In this paper, we propose a new method for weighted fuzzy interpolative reasoning in sparse
fuzzy rule-based systems based on piecewise fuzzy entropies of fuzzy sets. First, the …

Intrusion detection system (IDS) is used to find malicious connections and protect networks
from external or internal attacks. Various fuzzy or fuzzy intelligence approaches have been …

Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models
by making inference possible in systems of only a sparse rule base. However in practical …

In this paper, we propose a new fuzzy interpolative reasoning method for sparse fuzzy rule-
based systems based on ranking values of polygonal fuzzy sets and automatically …

Fuzzy rule interpolation (FRI) predicts an accountable outcome of a possible course of
action in sparse fuzzy rule base system (FRBS). However, in real life, we encounter some …

In order to deal with both the “curse of dimensionality” and the “sparse rule base”
simultaneously, an initial idea of hierarchical bidirectional fuzzy interpolation is presented in …