In this paper, a soft computing technique for estimating battery state-of-charge of individual
batteries in a battery string is proposed. The soft computing approach uses a fusion of a …

A new subsethood-product fuzzy neural inference system (SuPFuNIS) is presented in this
paper. It has the flexibility to handle both numeric and linguistic inputs simultaneously …

We present our results on the adoption of a set-theoretic framework for granular computing
to situation awareness. The proposed framework guarantees a high degree of flexibility in …

In this paper, a hybrid Fuzzy Neural Network (FNN) system for function approximation is
presented. The proposed FNN can handle numeric and fuzzy inputs simultaneously. The …

This paper introduces PEASuPFuNIS, a parallel evolutionary asymmetric subsethood
product fuzzy neural network as an extension of ASuPFuNIS, which is implemented using a …

A hybrid Fuzzy Neural Network (FNN) system is presented in this paper. The proposed FNN
can handle numeric and fuzzy inputs simultaneously. The numeric inputs are fuzzified by …

This paper employs a simple genetic algorithm (GA) to search for an optimal set of
parameters for a novel subsethood product fuzzy neural network introduced elsewhere, and …

This paper presents new pruning and learning methods for the fuzzy rule-based classifier.
For the simplicity of the model structure, the unnecessary features for each fuzzy rule are …

This paper proposes a novel asymmetric subsethood-based neural fuzzy network (ASNFN)
that identifies and controls nonlinear dynamic systems. ASNFN has the flexibility to handle …

This paper presents a detailed study on the various parameters of an island model based
differential evolution learning scheme in asymmetric subsethood product fuzzy neural …