Context dependent fuzzy modelling and its applications

Ho, Duc Thang (2013) Context dependent fuzzy modelling and its applications. PhD thesis, University of Nottingham.

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Fuzzy rule-based systems (FRBS) use the principle of fuzzy sets and fuzzy logic to describe vague and imprecise statements and provide a facility to express the behaviours of the system with a human-understandable language. Fuzzy information, once defined by a fuzzy system, is fixed regardless of the circumstances and therefore makes it very difficult to capture the effect of context on the meaning of the fuzzy terms. While efforts have been made to integrate contextual information into the representation of fuzzy sets, it remains the case that often the context model is very restrictive and/or problem specific. The work reported in this thesis is our attempt to create a practical frame work to integrate contextual information into the representation of fuzzy sets so as to improve the interpretability as well as the accuracy of the fuzzy system. Throughout this thesis, we have looked at the capability of the proposed context dependent fuzzy sets as a stand alone as well as in combination with other methods in various application scenarios ranging from time series forecasting to complicated car racing control systems. In all of the applications, the highly competitive performance nature of our approach has proven its effectiveness and efficiency compared with existing techniques in the literature.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Garibaldi, J.M.
Keywords: fuzzy modelling, fuzzy logic, applications, computing, computer games, video games, car racing
Subjects: Q Science > QA Mathematics > QA 75 Electronic computers. Computer science
Faculties/Schools: UK Campuses > Faculty of Science > School of Computer Science
Item ID: 13574
Depositing User: EP, Services
Date Deposited: 11 Feb 2014 11:29
Last Modified: 13 Sep 2016 15:18

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