Possibilistic measures and possibly favorable elementary random events

Title:

Possibilistic measures and possibly favorable elementary random events

Creator:

Kramosil, Ivan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:111c39ed-a5ad-44c3-98e2-e5ec7c044f67
uuid:111c39ed-a5ad-44c3-98e2-e5ec7c044f67

Subject:

Probability measure, possibilistic measure, random variable, and classication systems

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Elementary random events possibly favorable to a random event are defined as those elementary random events for which we are not able to prove or deduce, within the limited framework of a decision procedure being at our disposal, that they are not favorable to the random event in question. Under some conditions, probabilities of the sets of possibly favorable elementary random events induce uniquely a possibilistic measure on the system of all subsets of the universe of elementary random events under consideration. Moreover, each possibilistic measure defined on this power-set can be obtained, or at least approximated to the degree of precision a priori given, in this way. Some results concerning the combinations of decision systems and decision systems induced by random variables are introduced and proved.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2005 Volume:15 | Number:2

Harvested from:

CDK

Metadata only:

false