An extended membrane system with active membranes to solve automatic fuzzy clustering problems

TitleAn extended membrane system with active membranes to solve automatic fuzzy clustering problems
Publication TypeJournal Papers
Year of Publication2016
AuthorsPeng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A.
Journal TitleInternational Journal of Neural Systems
PublisherWorld Scientific
Place PublishedSingapore, Singapore
Date Published01/2016

This paper focuses on automatic fuzzy clustering problem and proposes a novel automatic fuzzy clustering method that employs an extended membrane system with active membranes that has been designed as its computing framework. The extended membrane system has a dynamic membrane structure; since membranes can evolve, it is particularly suitable for processing the automatic fuzzy clustering problem. A modification of a differential evolution (DE) mechanism was developed as evolution rules for objects according to membrane structure and object communication mechanisms. Under the control of both the object’s evolution-communication mechanism and the membrane evolution mechanism, the extended membrane system can effectively determine the most appropriate number of clusters as well as the corresponding optimal cluster centers. The proposed method was evaluated over 13 benchmark problems and was compared with four state-of-the-art automatic clustering methods, two recently developed clustering methods and six classification techniques. The comparison results demonstrate the superiority of the proposed method in terms of effectiveness and robustness.

KeywordsData clustering; automatic fuzzy clustering problem; membrane computing; membrane systems with active membranes
Impact Factor



2/123 - Q1

ISSN Number0129-0657