Applications Of Mathematics Of Uncertainty

Download Applications Of Mathematics Of Uncertainty PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Mathematics Of Uncertainty book now. This site is like a library, Use search box in the widget to get ebook that you want.

If the content Applications Of Mathematics Of Uncertainty not Found or Blank , you must refresh this page manually.

Applications Of Mathematics Of Uncertainty


Applications Of Mathematics Of Uncertainty
DOWNLOAD
READ ONLINE

Download Applications Of Mathematics Of Uncertainty PDF/ePub, Mobi eBooks by Click Download or Read Online button. Instant access to millions of titles from Our Library and it’s FREE to try! All books are in clear copy here, and all files are secure so don't worry about it.



Applications Of Mathematics Of Uncertainty


Applications Of Mathematics Of Uncertainty
DOWNLOAD
READ ONLINE


Author : John N. Mordeson
language : en
Publisher: Springer Nature
Release Date : 2021-11-17

Applications Of Mathematics Of Uncertainty written by John N. Mordeson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Technology & Engineering categories.


This book provides an examination of major problems facing the world using mathematics of uncertainty. These problems include climate change, coronavirus pandemic, human tracking, biodiversity, and other grand challenges. Mathematics of uncertainty is used in a modern more general sense than traditional mathematics. Since accurate data is impossible to obtain concerning human tracking and other global problems, mathematics of uncertainty is an ideal discipline to study these problems. The authors place several scientific studies into different mathematical settings such as nonstandard analysis and soft logic. Fuzzy differentiation is used to model the spread of diseases such as the coronavirus. The book uses fuzzy graph theory to examine the problems of human tracking and illegal immigration. The book is an excellent reference source for advanced under-graduate and graduate students in mathematics and the social sciences as well as for researchers and teachers.

Applications Of Uncertainty Formalisms


Applications Of Uncertainty Formalisms
DOWNLOAD
READ ONLINE


Author : Anthony Hunter
language : en
Publisher: Springer
Release Date : 2003-06-29

Applications Of Uncertainty Formalisms written by Anthony Hunter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.


An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.

Probability The Science Of Uncertainty


Probability The Science Of Uncertainty
DOWNLOAD
READ ONLINE


Author : Michael A. Bean
language : en
Publisher: American Mathematical Soc.
Release Date : 2009

Probability The Science Of Uncertainty written by Michael A. Bean and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Mathematics categories.


This book covers the basic probability of distributions with an emphasis on applications from the areas of investments, insurance, and engineering. Written by a Fellow of the Casualty Actuarial Society and the Society of Actuaries with many years of experience as a university professor and industry practitioner, the book is suitable as a text for senior undergraduate and beginning graduate students in mathematics, statistics, actuarial science, finance, or engineering as well as a reference for practitioners in these fields.

Mathematics Of Uncertainty


Mathematics Of Uncertainty
DOWNLOAD
READ ONLINE


Author : Hans Bandemer
language : en
Publisher: Springer
Release Date : 2008-01-25

Mathematics Of Uncertainty written by Hans Bandemer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-25 with Technology & Engineering categories.


"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to wavelets, from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation, as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships. The notions of randomness and probability are examined as a model for the variability of observation and measurement results. Besides these basic ideas the book also presents methods of qualitative data analysis such as cluster analysis and classification, and of evaluation of functional relationships such as regression analysis and quantitative fuzzy data analysis.

Mathematics Of Uncertainty Modeling In The Analysis Of Engineering And Science Problems


Mathematics Of Uncertainty Modeling In The Analysis Of Engineering And Science Problems
DOWNLOAD
READ ONLINE


Author : Chakraverty, S.
language : en
Publisher: IGI Global
Release Date : 2014-01-31

Mathematics Of Uncertainty Modeling In The Analysis Of Engineering And Science Problems written by Chakraverty, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-31 with Mathematics categories.


"This book provides the reader with basic concepts for soft computing and other methods for various means of uncertainty in handling solutions, analysis, and applications"--Provided by publisher.

Probability And Statistics


Probability And Statistics
DOWNLOAD
READ ONLINE


Author : John Tabak
language : en
Publisher: Infobase Publishing
Release Date : 2014-05-14

Probability And Statistics written by John Tabak and has been published by Infobase Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Electronic books categories.


Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.

Fundamentals Of Uncertainty Calculi With Applications To Fuzzy Inference


Fundamentals Of Uncertainty Calculi With Applications To Fuzzy Inference
DOWNLOAD
READ ONLINE


Author : Michel Grabisch
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Fundamentals Of Uncertainty Calculi With Applications To Fuzzy Inference written by Michel Grabisch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Business & Economics categories.


With the vision that machines can be rendered smarter, we have witnessed for more than a decade tremendous engineering efforts to implement intelligent sys tems. These attempts involve emulating human reasoning, and researchers have tried to model such reasoning from various points of view. But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions. Thus the general problem of reasoning with knowledge is the core of design methodology. The attempt to use human knowledge in its most natural sense, that is, through linguistic descriptions, is novel and controversial. The novelty lies in the recognition of a new type of un certainty, namely fuzziness in natural language, and the controversality lies in the mathematical modeling process. As R. Bellman [7] once said, decision making under uncertainty is one of the attributes of human intelligence. When uncertainty is understood as the impossi bility to predict occurrences of events, the context is familiar to statisticians. As such, efforts to use probability theory as an essential tool for building intelligent systems have been pursued (Pearl [203], Neapolitan [182)). The methodology seems alright if the uncertain knowledge in a given problem can be modeled as probability measures.