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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach (Paperback, Softcover reprint of the original 1st ed. 1998)
Loot Price: R5,458
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Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach (Paperback, Softcover reprint of the original 1st ed. 1998)
Series: International Series in Intelligent Technologies, 11
Expected to ship within 10 - 15 working days
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Uncertainty has been of concern to engineers, managers and .
scientists for many centuries. In management sciences there have
existed definitions of uncertainty in a rather narrow sense since
the beginning of this century. In engineering and uncertainty has
for a long time been considered as in sciences, however, synonymous
with random, stochastic, statistic, or probabilistic. Only since
the early sixties views on uncertainty have ~ecome more
heterogeneous and more tools to model uncertainty than statistics
have been proposed by several scientists. The problem of modeling
uncertainty adequately has become more important the more complex
systems have become, the faster the scientific and engineering
world develops, and the more important, but also more difficult,
forecasting of future states of systems have become. The first
question one should probably ask is whether uncertainty is a
phenomenon, a feature of real world systems, a state of mind or a
label for a situation in which a human being wants to make
statements about phenomena, i. e. , reality, models, and theories,
respectively. One cart also ask whether uncertainty is an objective
fact or just a subjective impression which is closely related to
individual persons. Whether uncertainty is an objective feature of
physical real systems seems to be a philosophical question. This
shall not be answered in this volume.
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