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

大数据时代下, 移动互联网发展与移动终端的普及形成了海量移动对象轨迹数据.
轨迹数据含有丰富的时空特征信息, 通过轨迹数据处理技术, 可以挖掘人类活动规律与行为特征 …

Abstract Echo State Networks, ESNs, are standardly composed of additive units undergoing
sigmoid function activation. They consist of a randomly recurrent neuronal infra-structure …

Based on fuzzy mathematics theory, this paper proposes a fuzzy multi-objective optimization
model with related constraints to minimize the total economic cost and network loss of …

In this article, a novel design of a hierarchicalfuzzy system (HFS) based on a self-organized
fuzzy partition and fuzzy autoencoder is proposed. The initial rule set of the system is empty …

Traditional fuzzy clustering algorithms suffer from two problems in image segmentations.
One is that these algorithms are sensitive to outliers due to the non-sparsity of fuzzy …

This article proposes a new multiobjective optimization approach for designing a self-
generated interpretable fuzzy logic system (FLS). The types of fuzzy sets (FSs) can be …

This paper proposes an evolutionary-group-based particle-swarm-optimization (EGPSO)
algorithm for fuzzy-controller (FC) design. The EGPSO uses a group-based framework to …

A novel growing-and-pruning (GP) approach is proposed, which optimizes the structure of a
fuzzy neural network (FNN). This GP-FNN is based on radial basis function neurons, which …

Particle swarm optimization (PSO) uses a social topology for particles to share information
among neighbors during optimization. A large number of existing literatures have shown that …