A New Fuzzy Interpolative Reasoning Method Based on Center of Gravity
dc.contributor.author
Huang, Zhiheng
en
dc.contributor.author
Shen, Qiang
en
dc.date.accessioned
2006-05-02T17:37:49Z
dc.date.available
2006-05-02T17:37:49Z
dc.date.issued
2003
dc.description.abstract
Interpolative reasoning methods do not only help reduce
the complexity of fuzzy models hut also make inference in
sparse-rule based systems possible. This paper presents an interpolative
reasoning method by exploiting the center of gravity
(COG) property of the fuzzy sets concerned. The method works by
first constructing a new inference rule via manipulating two given
adjacent rules, and then by using similarity information to convert
the intermediate inference results into the final derived conclusion.
Two transformation operations are introduced to support
such reasoning, which allow the COG of a fuzzy set to remain unaltered
before and after the transformation, Results of experimental
comparisons are provided to reflect the success of this work.
en
dc.format.extent
427581 bytes
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dc.format.mimetype
application/pdf
en
dc.identifier.citation
Z. H. Huang and Q. Shen. A new fuzzy interpolative reasoning method based on center of gravity. In Proc. of the International Conference on Fuzzy Systems, volume 1, pages 25–30, 2003.
dc.identifier.uri
http://hdl.handle.net/1842/909
dc.language.iso
en
dc.publisher
IEEE
en
dc.subject
fuzzy models
en
dc.subject
centre of gravity
en
dc.title
A New Fuzzy Interpolative Reasoning Method Based on Center of Gravity
en
dc.type
Article
en
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