Application of uncertain variables and learning process to decision making in a class of complex systems

Bubnicki, Zdzisław

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Title: Application of uncertain variables and learning process to decision making in a class of complex systems

Abstract:

The purpose of this paper is to show how two approaches (uncertain variables characterized by an expert and a learning process consisting in step by step knowledge validation and updating) may be combined and used for decision making in a class of complex systems with a distributed knowledge.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Report

Resource Identifier:

oai:rcin.org.pl:139567

Source:

RB-2004-17

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

Subject and keywords:

Intelligent control systems Uncertain variables Uncertain systems Learning systems

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Sep 17, 2020

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All available object's versions:

https://rcin.org.pl./publication/175003

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Raporty Badawcze

Edition name	Date
RB-2004-17 : Bubnicki Zdzisław : Application of uncertain variables and learning process to decision making in a class of complex systems	Oct 19, 2021