Identificacion Principal del registro INGC-EBK-000598

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160902120551

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140722s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319086118

a Standard number or code 10.1007/978-3-319-08611-8

a Personal name Couso, Inés.

a Title Random Sets and Random Fuzzy Sets as Ill-Perceived Random Variables

h Medium [electronic resource] :

b Remainder of title An Introduction for Ph.D. Students and Practitioners /

c Statement of responsibility, etc by Inés Couso, Didier Dubois, Luciano Sánchez.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent viii, 97 p. :

b Other physical details il.

a Series statement SpringerBriefs in Applied Sciences and Technology,

x International Standard Serial Number 2191-530X

a Formatted contents note Introduction -- Random sets as ill-perceived random variables -- Random fuzzy sets as ill-perceived random variables.

a Summary, etc 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.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Statistics.

a Topical term or geographic name as entry element Computational intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

a Personal name Dubois, Didier.

a Personal name Sánchez, Luciano,

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-08611-8

c item type EBK

a descripción COM