Information Quantities and Possibility Measures

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F02%3A03078663" target="_blank" >RIV/68407700:21230/02:03078663 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Information Quantities and Possibility Measures

Original language description

Information theory for non-additive measures has always attracted considerable attention. This effort resulted, among others, in defining information measures for Dempster-Shafer (D-S) theory. In the paper, the properties of information quantitities called the aggregate uncertainty (AU) and nonspecifity are discussed within the framework of possibility theory may be viewed as a special part of D-S theory for this purpose. An axiomatic approach to possibility theory (formulated by de Cooman) is adopted.Fundamental properties of the AU and the nonspecifity are analyzed and summarized. Moreover, an inequality clarifiyng their mutual relationship is presented. Arelation between possibilistic independence (parameterized by contunuous t-norm) and the additivity requirement frequently imposed on uncertainty measures is explored in detail.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

—

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SOFSEM 2002 - Student Research Forum

ISBN

—

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

21-26

Publisher name

Masarykova univerzita

Place of publication

Brno

Event location

Milovy

Event date

Nov 27, 2002

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

—