) to assess SC in a two-phase integrated algorithm of principal component analysis (PCA) and fuzzy clustering. Findings … for total SQ quantification. For verification and validation, fuzzy clustering is employed along with PCA to cluster the … SQ. The results of PCA are verified and validated by fuzzy clustering revealing the applicability and usefulness of PCA …

In this paper, following a partitioning around medoids approach, a fuzzy clustering model for interval-valued data, i … clustering process, a robust fuzzy clustering model with a trimming rule, called Trimmed Fuzzy <InlineEquation ID="IEq1 …

This paper presents a new fuzzy clustering approach based on an efficient fuzzy distance measurement and multi … a crisp measurement. Unfortunately, most of the existing fuzzy clustering approaches, consider the distance between two … measure. The triangle fuzzy numbers (TFNs) are used to develop the applicable fuzzy clustering approach. Then, multi …

established using the projection pursuit, fuzzy clustering and accelerating genetic algorithm method. Finally, the ice disaster …

modified evolutionary fuzzy clustering with associated neural networks. It consists of two modules: fuzzy distribution and … evolutionary fuzzy clustering, which leads the basis for network structure selection and learning in associated neural classifier …