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Random Sets as Ill-Perceived Random Variables

  • Inés CousoEmail author
  • Didier Dubois
  • Luciano Sánchez
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

The modern theory of random sets was initiated in the seventies, independently by Kendall [30] and Matheron [37] and it has been fruitfully applied in different fields such as economy, stochastic geometry and ill-observed random objects. Roughly speaking, a random set is a random element in a family of subsets of a certain universe. In particular, we can compute the probabilities that a random set hits a given set, or is included in this set, or yet includes it. In parallel and quite independently of this literature, random sets appear (but for the name) in the late sixties in the pioneering works of Dempster [16], who considers multimappings from a probability space to another space of interest.

Keywords

Probability Measure Multivalued Mapping Evidence Theory Measurable Selection Final Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.Departamento de Estadística e I. O. y D. M.Universidad de OviedoOviedoSpain
  2. 2.IRIT, CNRSUniversité Paul SabatierToulouse Cedex 09France
  3. 3.Departamento de InformáticaUniversidad de OviedoOviedoSpain

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