Kuzemko S. Modeling of multivariate dependences with sparse date basic of interval membership functions

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0406U003780

Thesis Registration Form

0406U003780.pdf

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

27-09-2006

Specialized Academic Board

К 26.818.01

Essay

Thesis is devoted by a question enhancement of decision-making in un-certainty, including sparse data basic application methods of modeling multi-variate dependences with use of interval membership functions. The new approach to modeling multivariate dependences basic of experi-mental data in uncertainty, including sparse data with use interval membership functions is developed. The automated system of diagnosing hypothyroidism is constructed.

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Files

kuzemko.doc

kuzemko_avtoreferat.doc

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