Majid Almaraashi

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In this paper, a combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the fuzzy system rules. The results of the proposed method are(More)
In this paper, a combination of interval type-2 fuzzy system (IT2FS) models and simulated annealing are used to predict the Mackey-Glass time series by searching for the best configuration of the IT2FS. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the rules for a Mamdani model. Simulated annealing is(More)
In this paper, simulated annealing algorithm is used to design general type-2 fuzzy logic systems (GT2FLS) with the aid of interval type-2 fuzzy logic systems (IT2FLS). The proposed practical design methodology aims to reduce computations needed to get the best footprint of uncertainty (FOU) using IT2FLS. Simulated annealing is used to learn IT2FLS followed(More)
Estimation of the solar radiation level reaching a specific zone on the surface of earth is a crucial step in the design and planning of solar energy systems. The large number of parameters affecting the estimation and prediction processes mandates dimension reduction of the input feature space. In this paper, we address this problem for a prediction system(More)
In this paper, a combination of fuzzy system models and simulated annealing are used to predict Mackey-Glass time series with different levels of added noise by searching for the best configuration of the fuzzy system. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the fuzzy system rules under singleton(More)
This paper reports on a new approach for automatic learning of general type-2 fuzzy logic systems (GT2FLSs) using simulated annealing (SA). The learning process in this work starts without an initial interval type-2 fuzzy system and has an objective to optimize all membership function parameters involved in the general type-2 fuzzy set in two stages. This(More)
In this paper, a new method to optimise interval type-2 fuzzy logic systems (IT2FLSs) using two forms of tabu search (TS) is presented. TS algorithms search for the best configuration of the interval type-2 fuzzy logic system (IT2FLS) rule-base membership functions parameters. Directed tabu search (DTS), which uses pattern search to control TS moves, and(More)
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