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Kategorie szczegółowe BISAC

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners

ISBN-13: 9783319086101 / Angielski / Miękka / 2014 / 97 str.

Ines Couso; Didier DuBois; Luciano Sanchez
Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners Couso, Inés 9783319086101 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables: An Introduction for Ph.D. Students and Practitioners

ISBN-13: 9783319086101 / Angielski / Miękka / 2014 / 97 str.

Ines Couso; Didier DuBois; Luciano Sanchez
cena 200,77
(netto: 191,21 VAT:  5%)

Najniższa cena z 30 dni: 192,74
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This short book provides a unified view of the history and theory of random sets and fuzzy random variables, with special emphasis on its use for representing higher-order non-statistical uncertainty about statistical experiments. The authors lay bare the existence of two streams of works using the same mathematical ground, but differing form their use of sets, according to whether they represent objects of interest naturally taking the form of sets, or imprecise knowledge about such objects.


Random (fuzzy) sets can be used in many fields ranging from mathematical morphology, economics, artificial intelligence, information processing and statistics per se, especially in areas where the outcomes of random experiments cannot be observed with full precision.This book also emphasizes the link between random sets and fuzzy sets with some techniques related to the theory of imprecise probabilities.
This small book is intended for graduate and doctoral students in mathematics or engineering, but also provides an introduction for other researchers interested in this area. It is written from a theoretical perspective. However, rather than offering a comprehensive formal view of random (fuzzy) sets in this context, it aims to provide a discussion of the meaning of the proposed formal constructions based on many concrete examples and exercises. This book should enable the reader to understand the usefulness of representing and reasoning with incomplete information in statistical tasks. Each chapter ends with a list of exercises.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Artificial Intelligence - General
Mathematics > Prawdopodobieństwo i statystyka
Technology & Engineering > Engineering (General)
Wydawca:
Springer
Seria wydawnicza:
Springerbriefs in Applied Sciences and Technology / Springer
Język:
Angielski
ISBN-13:
9783319086101
Rok wydania:
2014
Wydanie:
2014
Numer serii:
000473488
Ilość stron:
97
Waga:
1.77 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"The book under review presents a mathematically based description of the theory of random sets and fuzzy random sets as representations of ill-observed random variables or partially known conditional probabilities. ... This publication can be treated as a good introductory textbook for everyone who is interested in the theory of ill-observed random variables." (Marek T. Malinowski, Mathematical Reviews, November, 2015)

Introduction.- Random sets as ill-perceived random variables.- Random fuzzy sets as ill-perceived random variables.

This short book provides a unified view of the history and theory of random sets and fuzzy random variables, with special emphasis on its use for representing higher-order non-statistical uncertainty about statistical experiments. The authors lay bare the existence of two streams of works using the same mathematical ground, but differing form their use of sets, according to whether they represent objects of interest naturally taking the form of sets, or imprecise knowledge about such objects.


Random (fuzzy) sets can be used in many fields ranging from mathematical morphology, economics, artificial intelligence, information processing and statistics per se, especially in areas where the outcomes of random experiments cannot be observed with full precision. This book also emphasizes the link between random sets and fuzzy sets with some techniques related to the theory of imprecise probabilities.


This small book is intended for graduate and doctoral students in mathematics or engineering, but also provides an introduction for other researchers interested in this area. It is written from a theoretical perspective. However, rather than offering a comprehensive formal view of random (fuzzy) sets in this context, it aims to provide a discussion of the meaning of the proposed formal constructions based on many concrete examples and exercises. This book should enable the reader to understand the usefulness of representing and reasoning with incomplete information in statistical tasks.  Each chapter ends with a list of exercises.

DuBois, Didier DeBois, Department of Automatics, ONERA-CERT, Toul... więcej >


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