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2016 | OriginalPaper | Buchkapitel

A Hybrid Approach to Closeness in the Framework of Order of Magnitude Qualitative Reasoning

verfasst von : Alfredo Burrieza, Emilio Muñoz-Velasco, Manuel Ojeda-Aciego

Erschienen in: Hybrid Artificial Intelligent Systems

Verlag: Springer International Publishing

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Abstract

Qualitative reasoning deals with information expressed in terms of qualitative classes and relations among them, such as comparability, negligibility or closeness. In this paper, we focus on the notion of closeness using a hybrid approach which is based on logic, order-of-magnitude reasoning, and on the so-called proximity structures; these structures will be used to decide the elements that are close to each other. Some of the intuitions of this approach are explained on the basis of examples. Moreover, we show some capabilities of the logic with respect to expressivity in order to denote particular positions of the proximity intervals.

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Fußnoten
1
This is a well-known effect in marketing.
 
2
There are at least as many elements in \(\mathcal{C}\) as qualitative classes.
 
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Metadaten
Titel
A Hybrid Approach to Closeness in the Framework of Order of Magnitude Qualitative Reasoning
verfasst von
Alfredo Burrieza
Emilio Muñoz-Velasco
Manuel Ojeda-Aciego
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-32034-2_60