An approach to solving classification problems under incomplete information
Authors: Babak, O.; Tatarinov, A.
Source: Cybernetics and Systems Analysis, Volume 41, Number 6, November 2005 , pp. 891-897(7)
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.
Document Type: Research Article
Affiliations: Email: firstname.lastname@example.org
Publication date: November 1, 2005