Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering (Studies in Computational Intelligence, 393)
ISBN-13:
9783642445705
ISBN-10:
3642445705
Edition:
2012
Author:
Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, Gang Xiang
Publication date:
2014
Publisher:
Springer
Format:
Paperback
444 pages
Category:
AI & Machine Learning
,
Engineering
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9783642445705
ISBN-10:
3642445705
Edition:
2012
Author:
Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, Gang Xiang
Publication date:
2014
Publisher:
Springer
Format:
Paperback
444 pages
Category:
AI & Machine Learning
,
Engineering
,
Computer Science
Summary
Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering (Studies in Computational Intelligence, 393) (ISBN-13: 9783642445705 and ISBN-10: 3642445705), written by authors
Vladik Kreinovich, Hung T. Nguyen, Berlin Wu, Gang Xiang, was published by Springer in 2014.
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Description
In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy. This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to information technology (maintaining privacy), to computer engineering (design of computer chips), and to data processing in geosciences, radar imaging, and structural mechanics.
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