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Lectures on Numerical Methods in Bifurcation Problems
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Methods for Finding Zeros in Polynomials
Lectures on Stochastic Flows and Applications
Educational Psychology by Edward L. Thorndike
The Last Days of Tolstoy by V. G. Chertkov
Globalization and Responsibility
Lectures on Siegel Modular Forms and Representation by Quadratic Forms
Lectures on Topics In One-Parameter Bifurcation Problems
History of the Incas by Pedro Sarmiento de Gamboa
Linear Algebra: Theorems and Applications
Lectures on Stochastic Differential Equations and Malliavin Calculus
A Short Biographical Dictionary of English Literature
Lectures on Sieve Methods and Prime Number Theory
Dollars and Sense by William Crosbie Hunter
The Theory of the Theatre by Clayton Hamilton
The Mathematics of Investment
Occupiers of Wall Street: Losers or Game Changers
The Solution of the Pyramid Problem
Lectures on Moduli of Curves
Walden by Henry David Thoreau
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Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing)
Posted on 2010-04-15
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More This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems. Computational system modelling is full of ambiguous situations, wherein the designer cannot decide, with precision, what should be the outcome of the system. In [17], L. Zadeh introduced for the first time the concept of fuzziness as opposed to crispiness in data sets. When he invented fuzzy sets together with the underlying theory, Zadeh’s main concern was to reduce system complexity and provide designer with a new computing paradigm that allow approximate results. Whenever there is uncertainty, fuzzy logic together with approximate reasoning apply. Fuzzy logic and approximate reasoning [18, 19] can be used in system modelling and control as well as data clustering and prediction [13], to name only few appropriate utilisations. Furthermore, they can be applied to any discipline such as finance [4], image processing [7, 16], temperature and pressure control [11, 22], robot control [9, 14], etc. If you like it, BUY IT !!!
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