Titlebook: Recent Advances on Soft Computing and Data Mining; The Second Internati Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris Conference proceedi

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Utilizing Clonal Selection Theory Inspired Algorithms and ,-Means Clustering for Predicting OPEC Caroutstanding results, and are able to generate highest detection rates and lowest false alarm rates. As such, gathering useful information with the accurate prediction of CO. emissions can help to reduce the emission of CO. contributions to global warming which assist in policies on climate change.

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Chicken S-BP: An Efficient Chicken Swarm Based Back-Propagation Algorithmarticular Iris, Australian Credit Card, and 7-Bit Party classification datasets are used in training and testing the performance of the Chicken S-BP hybrid network. Results of simulation illustrates that Chicken S-BP algorithm efficiently prevents local minima and provides optimal solution.

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Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Seriesmodification of the interval numbers of data set. The yearly oil production and oil consumption of Malaysia from 1965 to 2012 are examined in evaluating the performance of FTS and regression time series (RTS) models, respectively. The result indicates that FTS model is better than RTS model in terms of the forecasting accuracy.

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One-Way ANOVA Model with Fuzzy Data for Consumer Demandod introduced in this paper could give decision maker a result with favorable degree of each factor. This kind of result is beneficial to the decision maker and retailer to distinguish which factor is the most critical for the customer and with how much amount of products would be allocated for customers.

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