Information measures in possibility theory

Conference Paper (international conference)

Kroupa Tomáš

serial: Proceedings of the 5th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 143-148 , Eds: Watada J.

publisher: Osaka University, (Osaka 2002)

action: Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /5./, (Mt. Koyasan, JP, 14.09.2002-16.09.2002)

research: CEZ:AV0Z1075907

project(s): GA201/02/1269GA ČR

keywords: aggregate uncertainty, nonspecificity, information theory

abstract (eng):

The properties of information quantities called aggregate uncertainty and nonspecificity are discussed within the framework of possibility theory. Fundamental properties of aggregate uncertainty and nonspecificity are analyzed. The relation between possibilistic T-independece and additivity of information measures is explored in further detail. The inequality stating that aggregate uncertainty is always greater or equal to nonspecificty is proven.

Cosati: 09J

RIV: BD