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Approximate Reasoning Based on Upper Approximation

Authors: Lin Yan; Zhansheng Mou; Fuyou Li; Jinjin Liu; Zidong Zhang;

Approximate Reasoning Based on Upper Approximation

Abstract

In order to investigate the approximate information contained in upper approximation, a mathematical structure called a tree-approximate space is defined, which is an extension of an approximate space in rough set theory. By integrating upper approximation with a tree in the tree-approximate space, approximate reasoning is introduced. It establishes connections between vertices, and can determine whether a vertex approximately deduces another. Making researches on approximate reasoning, some properties are obtained, which show that approximate reasoning not only preserves the connections between vertices induced by accurate information, but also extends the connections. This indicates that the approximate information contained in upper approximation can be developed by a reasoning approach. Besides, as a mathematical structure, a tree-approximate space with approximate reasoning can be used to model practical problems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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