Towards the methodology for development of fuzzy relational database applications
Author(s) -
Srdjan Škrbić,
Miloš Racković,
Aleksandar Takači
Publication year - 2010
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis100102010s
Subject(s) - computer science , relational database , fuzzy logic , relational model , data mining , database model , database design , fuzzy set operations , development (topology) , relational calculus , representation (politics) , artificial intelligence , database , theoretical computer science , fuzzy set , mathematics , mathematical analysis , politics , political science , law
In this paper we examine the possibilities to extend the relational data model with the mechanisms that can handle imprecise, uncertain and inconsistent attribute values using fuzzy logic and fuzzy sets. We present a fuzzy relational data model which we use for fuzzy knowledge representation in relational databases that guarantees the model in 3rd normal form. We also describe the CASE tool for the fuzzy database model development which is apparently the first implementation of such a CASE tool. In this sense, this paper presents a leap forward towards the specification of a methodology for fuzzy relational database applications development.
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