Abstract
Which is the best way to describe the corresponding probabilistic uncertainty? One of the main objectives of data processing is to make decisions. As we have seen in the previous chapter, a standard way of making a decision is to select the action a for which the expected utility (gain) is the largest possible. This is where probabilities are used: in computing, for every possible action a, the corresponding expected utility. To be more precise, we usually know, for each action a and for each actual value of the (unknown) quantity x, the corresponding value of the utility u a (x). We must use the probability distribution for x to compute the expected value e[u a (x)] of this utility.
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© 2012 Springer-Verlag Berlin Heidelberg
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Nguyen, H.T., Kreinovich, V., Wu, B., Xiang, G. (2012). How to Select Appropriate Statistical Characteristics. In: Computing Statistics under Interval and Fuzzy Uncertainty. Studies in Computational Intelligence, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24905-1_10
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DOI: https://doi.org/10.1007/978-3-642-24905-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24904-4
Online ISBN: 978-3-642-24905-1
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