Learn IT - Books tags uncertainties

Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications

CRC Press, 2007

Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise. When surfaces are used to model geographical entities, the data inherently contains uncertainty in terms of both position and attribute....

Simulation: The Practice of Model Development and Use

John Wiley & Sons, 2004

Simulation models enable the user to better understand and explore improvements to an operations system such as a manufacturing, service, transport or supply system. It is a powerful management tool, providing a means for improving an organizationâ€™s efficiency and effectiveness. Advances in modern software mean that simulation is...

Model-Based Signal Processing (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

John Wiley & Sons, 2005

A unique treatment of signal processing using a model-based perspective

Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem...

Uncertainty in the Electric Power Industry: Methods and Models for Decision Support

Springer, 2004

Starting in Chile, the UK and Norway, liberalization and privatization
have been a major theme in the electricity industry during the last decade.

Through the introduction of competition and economic considerations,
governments around the world have attempted to obtain more reliable and
cheaper services for the electricity...

Concurrent and Real-Time Programming in Java

John Wiley & Sons, 2004

Real-time systems have to respond to externally generated input stimuli within a finite and predictable time. Their correctness depends not only on the logical results of the computations, but also on the time at which those results are produced.

When Java emerged as a serious programming language in 1994, it was treated with...

Cooperative Control of Nonlinear Networked Systems: Infinite-time and Finite-time Design Methods (Communications and Control Engineering)

Springer, 2019

Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and...

Pivot: How Top Entrepreneurs Adapt and Change Course to Find Ultimate Success

John Wiley & Sons, 2013

A proven approach to achieving entrepreneurial success in new corporate ventures and startups

Every day, business and corporate startups take action based on assumptions. Yet these assumptions are based largely on guesswork that leads to everything from costly mistakes to the failure of ventures. Fortunately, there are ways...

Uncertainty and Optimization in Structural Mechanics (Mechanical Engineering and Solid Mechanics)

John Wiley & Sons, 2013

Optimization is generally a reduction operation of a definite quantity. This process naturally takes place in our environment and through our activities. For example, many natural systems evolve, in order to minimize their potential energy. Modeling these phenomena then largely relies on our capacity to artificially reproduce these processes....

Perception-based Data Mining and Decision Making in Economics and Finance (Studies in Computational Intelligence)

Springer, 2007

The primary goal of this book is to present to the scientific and management communities a selection of applications using more recent Soft Computing (SC) and Computing with Words and Perceptions (CWP) models and techniques meant to solve the economics and financial problems. The selected examples could also serve as a starting point...

Modeling the Internet and the Web: Probabilistic Methods and Algorithms

John Wiley & Sons, 2003

The World Wide Web is growing in size at a remarkable rate. It is a huge evolving system and its data are rife with uncertainties. Probability and statistics are the fundamental mathematical tools that enable us to model, reason and infer meaningful results from such data. Modelling the Internet and the Web covers the...

Risk Analysis: Assessing Uncertainties Beyond Expected Values and Probabilities

John Wiley & Sons, 2008

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers.

Risk analysis can be defined as a systematic use of...

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)

Springer, 2009

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

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