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This paper describes a framework that utilizes an adaptive‐network‐based fuzzy inference system to perform user‐constrained pattern recognition on time‐series data. Using a customizable fuzzy logic grammar, the architecture allows an analyst to capture domain expertise in a context‐relevant manner. Fuzzy logic rules constructed by the analyst are used to perform feature extraction and influence the training of a neural network to perform pattern recognition. We demonstrate that the architecture is capable of performing noise‐tolerant searches across multiple features on large volumes of time‐series data. The experiments presented here are from the domain of stock analysis. We are able to create simple rule sets automatically to search a data warehouse of stocks to select stocks that exhibit desirable behaviours. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   
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The 1995 South African Labour Relations Act introduced a system of Workplace Forums, a form of works council. Currently, Forums are only operational in a small minority of workplaces. This article explores the reasons underlying the apparent failure of this new system.  相似文献   
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Municipalities in South Africa play a pivotal role in the provision of basic services to communities. However, local government as a sphere in the country is notorious for its spending inefficiency, which is cited as a major factor in service delivery failure. This paper quantifies inefficient expenditure at the local government level by estimating efficiency scores for a sample of 129 municipalities in South Africa from the 2005/2006 to the 2009/2010 municipal financial years. In essence, this paper examines the technical efficiency of municipalities by using the nonparametric free disposable hull approach and finds that 10 municipalities are constantly efficient over the period. On average, input efficiency scores range from 42% to 46%, suggesting that, in general, municipalities can achieve the same output levels with over 50% less resources. Quantitatively for the 2009/2010 financial year, this amounts to a total of R80 billion being spent inefficiently, which equates to R220 million being “wasted” per day.  相似文献   
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