Open AccessFUZZY RECURSIVE RELATIONSHIPS IN RELATIONAL DATABASES
Author(s) -
Krzysztof Myszkorowski
Publication year - 2018
Publication title -
information systems in management
Language(s) - English
Resource type - Journals
eISSN - 2544-1728
pISSN - 2084-5537
DOI - 10.22630/isim.2018.7.1.4
Subject(s) - fuzzy logic , fuzzy set , computer science , relational database , relational algebra , imperfect , set (abstract data type) , interval (graph theory) , data mining , fuzzy set operations , theoretical computer science , relational model , database , mathematics , artificial intelligence , programming language , linguistics , philosophy , combinatorics
Recursive relationships are used for modelling problems coming from the real life, such as, for example, a relationship describing formal dependencies between employees of an enterprise, where creation of work groups and teams requires analysis of many elements. In conventional database systems, the precision of data is assumed. If our knowledge of the fragment of reality to be modelled is imperfect one should apply tools for describing uncertain or imprecise information. One of them is the fuzzy set theory. The paper deals with recursive relationships in fuzzy databases. The analysis is performed with the use of the theory of interval-valued fuzzy sets. A definition of a fuzzy interval recursive relationship has been presented. The paper defines different connections of entities which participate in such relationships. Op-erations of the extended relational algebra are also discussed.