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Data prediction based on qualitative information by means of the fuzzy method

Authors: null Zaijun Hu;

Data prediction based on qualitative information by means of the fuzzy method

Abstract

In this paper an approach to use qualitative information to infer unknown data by means of the fuzzy method is presented. The qualitative information are classified into tendency, relation, modification and quantified information which will be represented by the fuzzy set, fuzzy operation and fuzzy relation. Different fuzzy inference rules are discussed and the corresponding fuzzy relation equations are established to infer the unknown data. An practical example is presented to show how to use qualitative information to infer the vertical arm strength of women with help of the fuzzy method. >

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
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