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

An Introduction for Ph.D. Students and Practitioners

  • Inés Couso
  • Didier Dubois
  • Luciano Sánchez

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Inés Couso, Didier Dubois, Luciano Sánchez
    Pages 1-5
  3. Inés Couso, Didier Dubois, Luciano Sánchez
    Pages 7-45
  4. Inés Couso, Didier Dubois, Luciano Sánchez
    Pages 47-88
  5. Back Matter
    Pages 89-97

About this book


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.


Fuzzy Random Variables Imprecise Probabilities Random Fuzzy Sets Random Sets

Authors and affiliations

  • Inés Couso
    • 1
  • Didier Dubois
    • 2
  • Luciano Sánchez
    • 3
  1. 1.Departamento de Estadística e I.O. y D. MUniversidad de OviedoOviedoSpain
  2. 2.IRIT, CNRSUniversité Paul SabatierToulouseFrance
  3. 3.Departamento de InformáticaUniversidad de OviedoOviedoSpain

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-08610-1
  • Online ISBN 978-3-319-08611-8
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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