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Unascertained model forecast on poor data with conditions functions in \(\mathbb {R}^n\). (English) Zbl 1104.68437

Summary: Based on the definitions of poor data, an unascertained model and four axioms, condition functions and range etc. were analyzed then induced second-order condition function, complemental condition function, connection function and the rule set of some signs concludes with the forecast method, which consists of four theorems and ten inferences, in the condition of data number \(m\) (\(m=2\)) in \(\mathbb {R}^n\).

MSC:

68P05 Data structures
Full Text: DOI

References:

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