Classification of possibilistic uncertainty and information functions
type: Item
instance of: scholarly article
title: Classification of possibilistic uncertainty and information functions
zbMATH Open document ID: 0637.94027
DOI: 10.1016/0165-0114(87)90091-1
author: Arthur Ramer
author: Leslie Lander
published in: Fuzzy Sets and Systems
publication date: 1987-01-01T00:00:00Z
review text: The U-uncertainty introduced by Higashi and Klir is proved to be of the form \[ V(p_ 1,...,p_ n)=z(p_ 1)\log n+(z(p_ 2)-z(p_ 1))\log (n-1)+(z(p_ 3)-z(p_ 2))\log (n-2)+... \] where \(p_ 1\leq p_ 2\leq..\). is an ordered possibility distribution and \(z: [0,1]\to [0,1]\), \(z(0)=0\), \(z(1)=1\) and z monotonic. It is proved that any other form of U-uncertainty is a particular form of the above and some properties are derived. A related paper is by \textit{G. J. Klir} and \textit{M. Mariano} [ibid. 24, 197-219 (1987; Zbl 0632.94039)]. Here, the authors prove that the uniqueness is related to the assumption of linearity of V, i.e. \(V(a+b,1)=V(a,1)+V(b,1).\)
Mathematics Subject Classification ID: 94D05
Mathematics Subject Classification ID: 94A17
zbMATH DE Number: 4039809
zbMATH Keywords: fuzzy entropy
zbMATH Keywords: possibilistic information
zbMATH Keywords: U-uncertainty
zbMATH Keywords: possibility distribution
MaRDI profile type: Publication
full work available at URL: 0165-0114(87)90091-1
OpenAlex ID: W2079945901
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description: scientific article; zbMATH DE number 4039809