An approach to solving classification problems under incomplete information |
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| Authors: | O. V. Babak A. E. Tatarinov |
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| Affiliation: | (1) 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 |
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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. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 116–123, November–December 2005. |
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| Keywords: | classification incomplete information similarity gradient separating function generalized variable |
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