… relationship between standard and nonstationary fuzzy sets. Specifically, for a given standard
fuzzy set A and a set of time points T, a nonstationary fuzzy set A is a set of duplicates of A …

… a nonstationary fuzzy set is provided. The layout of Section III, containing the notions relevant
to non-stationary fuzzy sets (… operations applied to non-stationary fuzzy sets are provided in …

… inability to handle non-stationary data. Thus, in this paper we introduce a Non-Stationary
Fuzzy Time Series (NSFTS). In the proposed method, we employ Non-Stationary Fuzzy Sets, in …

… interval type-2 fuzzy set, a nonstationary fuzzy set or a normal … type-2 fuzzy set, nonstationary
fuzzy set and normal cloud … of type-2 fuzzy sets, nonstationary fuzzy sets, and cloud models…

… , we propose a new inference framework—nonstationary fuzzy neural network (NFNN). This
… fuzzy sets in the corresponding neurons, which is inspired from the non-stationary fuzzy sets …

… Abstract—In this paper a notion termed non-stationary fuzzy sets is introduced and the …
non-stationary fuzzy set. The relationship between non-stationary fuzzy sets and type-2 fuzzy sets …

… use an algorithm that were recently presented [I41 for a natural "soA" top-down hierarchical
partition, which fully follows the fuzzy sets rules by means of unsupervised fuzzy clustering. …

… nonstationary functions. The main objective of this paper is to shed light into the role of evolving
fuzzy … The behavior of nonstationary fuzzy data streams with gradual and abrupt regime …

… In this paper, nonstationary fuzzy sets are utilized both to avoid of complexity of general
type-2 sets and to ensure the change in secondary memberships that interval type-2 sets are not …

… is devoted to the fuzzy clustering approach, even though the nonstationary nature of many
… This survey discusses relevant data stream clustering algorithms focusing mainly on fuzzy …