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Titlebook: Soft Computing for Risk Evaluation and Management; Applications in Tech Da Ruan,Janusz Kacprzyk,Mario Fedrizzi Book 2001 Springer-Verlag Be

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Neuro-Fuzzy Modelling of Time Serieslines which can approximate any given input-output data series of low dimension. To efficiently describe high-dimensional input data, statistical indices are extracted to feed the fuzzy controller. The original input space is transformed into an eigenspace. If a sequence of training data are sampled
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Fuzzy Price Forecasting and Energy Contracting in Competitive Electricity Marketschallenges to researches as varying prices and uncertain volume of energy production result in risk to be taken when contracting energy. The implementation of fuzzy approach allows the price pattern determination and the evaluation of the risk taken for various market attitudes [1]. The data used in
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Extensions and Applications of Evidence Theoryial reasoning, but it has been criticised when it is used for combining two largely conflicting pieces of evidence. Also, it can only be used to combine evidence coming from the same frame of discernment.
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