Innovative design of adaptive hierarchical fuzzy logic systems

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

In this paper the supervised and unsupervised fuzzy concept learning using evolutionary Algorithms is considered. The paper explores the design and development of hierarchical fuzzy logic systems using an evolutionary algorithm. The development of hierarchical fuzzy logic systems is considered by a new method which determines the number of layers in the hierarchical fuzzy logic system. A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The advantages and disadvantages of using hierarchical fuzzy logic systems for financial modelling is also considered. Finally evolutionary algorithm is then used to design a fuzzy logic system from a set of data in an unsupervised learning manner. Specifically it's application to urban traffic control is considered.

Original languageEnglish
Title of host publicationProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne
EditorsMasoud Mohammadian
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1072-1078
Number of pages7
Volume2
ISBN (Print)0769525040, 9780769525044
DOIs
Publication statusPublished - 1 Dec 2005
EventInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005 - Vienna, Austria
Duration: 28 Nov 200530 Nov 2005

Conference

ConferenceInternational Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005
CountryAustria
CityVienna
Period28/11/0530/11/05

Fingerprint

Fuzzy logic
Evolutionary algorithms
Unsupervised learning
Traffic control
Learning algorithms

Cite this

Mohammadian, M. (2005). Innovative design of adaptive hierarchical fuzzy logic systems. In M. Mohammadian (Ed.), Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne (Vol. 2, pp. 1072-1078). [1631612] USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIMCA.2005.1631612
Mohammadian, Masoud. / Innovative design of adaptive hierarchical fuzzy logic systems. Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne. editor / Masoud Mohammadian. Vol. 2 USA : IEEE, Institute of Electrical and Electronics Engineers, 2005. pp. 1072-1078
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abstract = "In this paper the supervised and unsupervised fuzzy concept learning using evolutionary Algorithms is considered. The paper explores the design and development of hierarchical fuzzy logic systems using an evolutionary algorithm. The development of hierarchical fuzzy logic systems is considered by a new method which determines the number of layers in the hierarchical fuzzy logic system. A hierarchical fuzzy logic system is developed to predict quarterly interest rates in Australia. The advantages and disadvantages of using hierarchical fuzzy logic systems for financial modelling is also considered. Finally evolutionary algorithm is then used to design a fuzzy logic system from a set of data in an unsupervised learning manner. Specifically it's application to urban traffic control is considered.",
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Mohammadian, M 2005, Innovative design of adaptive hierarchical fuzzy logic systems. in M Mohammadian (ed.), Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne. vol. 2, 1631612, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 1072-1078, International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC 2005, Vienna, Austria, 28/11/05. https://doi.org/10.1109/CIMCA.2005.1631612

Innovative design of adaptive hierarchical fuzzy logic systems. / Mohammadian, Masoud.

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne. ed. / Masoud Mohammadian. Vol. 2 USA : IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 1072-1078 1631612.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Mohammadian M. Innovative design of adaptive hierarchical fuzzy logic systems. In Mohammadian M, editor, Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne. Vol. 2. USA: IEEE, Institute of Electrical and Electronics Engineers. 2005. p. 1072-1078. 1631612 https://doi.org/10.1109/CIMCA.2005.1631612