Innovative applications of artificial intelligence in software engineering

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

Abstract

Hierarchical fuzzy logic systems are increasingly applied to complex systems. There is a need for a structured and methodological approach for the design and development of hierarchical fuzzy logic systems. In this talk a review of a method developed by the author for design and development of hierarchical fuzzy logic systems is considered. The proposed method is based on the integration of genetic algorithms and fuzzy logic to provide an integrated knowledge base for modelling, control and prediction. Issues related to the design and construction of hierarchical fuzzy logic systems using several applications are considered and methods for the decomposition of complex systems into hierarchical fuzzy logic systems are proposed. Decomposition and conversion of systems into hierarchical fuzzy logic systems reduces the number of fuzzy rules and improves the learning speed for such systems. Decomposition of these systems is not a trivial task for applications considered. Application areas considered are: the prediction of interest rate and hierarchical robotic control. The aim of this talk is to review and highlight the research work completed in the area of hierarchical fuzzy logic system by the author. The talk will benefit researchers interested in the application of hierarchical fuzzy logic systems in modelling, control and prediction. In this talk an innovative method is explained for design and development of hierarchical fuzzy logic systems. Genetic algorithms are used as an adaptive learning method to design hierarchical fuzzy logic systems to predict the fluctuations of the 10-year Australian Treasury bond using Australian economic data. Using hierarchical fuzzy logic systems the number of fuzzy rules in the fuzzy knowledge base is reduced dramatically hence computational times are decreased resulting in a more efficient system. The application of the proposed method to modelling and prediction of interest rate using Australian economic indicators is considered....
Original languageEnglish
Title of host publication2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS)
EditorsSanjay Singh, M.S. Prasad
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-2
Number of pages2
ISBN (Electronic)9781538605141
ISBN (Print)9781538605158
DOIs
Publication statusPublished - 18 Dec 2017
EventInternational Conference on Infocom Technologies and Unmanned Systems 2017: Trends and Future Directions - Dubai, United Arab Emirates
Duration: 18 Dec 201720 Dec 2017

Conference

ConferenceInternational Conference on Infocom Technologies and Unmanned Systems 2017
Abbreviated titleICTUS 2017
CountryUnited Arab Emirates
CityDubai
Period18/12/1720/12/17

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    Mohammadian, M. (2017). Innovative applications of artificial intelligence in software engineering. In S. Singh, & M. S. Prasad (Eds.), 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS) (pp. 1-2). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICTUS.2017.8285984