From Classical to Fuzzy Databases in a Production Enterprise
Author(s) -
Izabela Rojek,
Dariusz Mikołajewski,
Piotr Kotlarz,
Alžbeta Sapietová
Publication year - 2020
Publication title -
jucs - journal of universal computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.284
H-Index - 53
eISSN - 0948-695X
pISSN - 0948-6968
DOI - 10.3897/jucs.2020.073
Subject(s) - database , computer science , data warehouse , fuzzy logic , online analytical processing , production (economics) , relational database , enterprise data management , knowledge management , business intelligence , distributed database , database theory , enterprise information system , artificial intelligence , economics , macroeconomics
This article presents the evolution of databases from classical relational databases to distributed databases and data warehouses to fuzzy databases used in a production enterprise. This paper discusses characteristics of this kind of enterprise. The authors precisely define centralized and distributed databases, data warehouses and fuzzy databases. In the modern global world, many companies change their management strategy from the one based on a centralized database to an approach based on distributed database systems. Growing expectations regarding business intelligence encourage companies to deploy data warehouses. New solutions are sought as the demand for engineers' expertise continues to rise. The requested knowledge can be certain or uncertain. Certain knowledge does not any problems and is easy to obtain. However, uncertain knowledge requires new ways of obtaining, including the use of fuzzy logic. It is from where the fuzzy database approach takes its beginning. The above-mentioned strategies of a production enterprise were described herein as a case of special interest.
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