An approach to solving classification problems under incomplete information

Authors:
O. V. Babak;A. E. Tatarinov
Affiliations:
International Scientific and Training Center for Information Technologies and Systems, National Academy of Sciences of Ukraine and Ministry of Science and Education of Ukraine, Kiev, Ukraine;International Scientific and Training Center for Information Technologies and Systems, National Academy of Sciences of Ukraine and Ministry of Science and Education of Ukraine, Kiev, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2005

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Abstract

A new approach to classification problems with incomplete information is described. The decision rule is designed considering the similarity of recognized objects. Designing a decision rule with the help of a general generalized variable is the basis of the approach.