About Rule-Based Systems: Single Database Queries for Decision Making

Piotr Artiemjew, Lada Rudikova and Oleg Myslivets
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Piotr Artiemjew: Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, 10-710 Olsztyn, Poland
Lada Rudikova: Faculty of Mathematics and Computer Science, Grodno State Yanka Kupala University, Street. Ozheshko 22, 230023 Grodno, Belarus
Oleg Myslivets: Faculty of Mathematics and Computer Science, Grodno State Yanka Kupala University, Street. Ozheshko 22, 230023 Grodno, Belarus

Future Internet, 2020, vol. 12, issue 12, 1-13

Abstract: One of the developmental directions of Future Internet technologies is the implementation of artificial intelligence systems for manipulating data and the surrounding world in a more complex way. Rule-based systems, very accessible for people’s decision-making, play an important role in the family of computational intelligence methods. The use of decision-making rules along with decision trees are one of the simplest forms of presenting complex decision-making processes. Decision support systems, according to the cross-industry standard process for data mining (CRISP-DM) framework, require final embedding of the learned model in a given computer infrastructure, integrated circuits, etc. In this work, we deal with the topic concerning placing the learned rule-based model of decision support in the database environment-exactly in the SQL database tables. Our main goal is to place the previously trained model in the database and apply it by means of single queries. In our work we assume that the decision-making rules applied are mutually consistent and additionally the Minimal Description Length (MDL) rule is introduced. We propose a universal solution for any IF THEN rule induction algorithm.

Keywords: decision systems; rule based systems; databases; rough sets (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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