Incomplete Information And Columns-Based Intelligent Systems | Zendy

Chesnokov A.M | Zendy

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Incomplete Information And Columns-Based Intelligent Systems

Author(s) -

Chesnokov A.M

Publication year - 2021

Publication title -

türk bilgisayar ve matematik eğitimi dergisi

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.218

H-Index - 3

ISSN - 1309-4653

DOI - 10.17762/turcomat.v12i2.2306

Subject(s) - intersection (aeronautics) , relation (database) , computer science , complete information , intelligent decision support system , work (physics) , element (criminal law) , inverse , data mining , artificial intelligence , mathematics , mathematical economics , political science , engineering , aerospace engineering , mechanical engineering , geometry , law

The paper considers columns-based intelligent systems that work under conditions of incomplete information, that is, input patterns are represented by their sub-patterns. The definition of direct and inverse problems under incomplete information is given. The solution of these problems is shown using the method of element-wise comparison of patterns and the intersection method. A relation between system’s ability to work under incomplete information and prediction is shown.

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