Open AccessIncomplete 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.