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Title: Decision algorithms and flow graphs; a rough set approach, Journal of Telecommunications and Information Technology, 2003, nr 3

Creator:

Pawlak, Zdzisław

Date:

2003, nr 3

Resource Type:

artykuł

Description:

This paper concerns some relationship between Bayes’ theorem and rough sets. It is revealed that any decision algorithm satisfies Bayes’ theorem, without referring to either prior or posterior probabilities inherently associated with classical Bayesian methodology. This leads to a new simple form of this theorem, which results in new algorithms and applications.Besides, it is shown that with every decision algorithm a flow graph can be associated. Bayes’ theorem can be viewed as a flow conservation rule of information flow in the graph.Moreover, to every flow graph the Euclidean space can be assigned. Points of the space represent decisions specified by the decision algorithm, and distance between points depicts distance between decisions in the decision algorithm.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:612 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2003.3.185

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

data mining rough sets decision algorithms flow graphs

Object collections:

Last modified:

Jun 3, 2024

In our library since:

Mar 22, 2010

Number of object content hits:

215

All available object's versions:

https://bc.itl.waw.pl/publication/681

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Pawlak, Zdzisław, Decision algorithms and flow graphs; a rough set approach, Journal of Telecommunications and Information Technology, 2003, nr 3 Jun 3, 2024

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E-Mail

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