DOI:10.2298/CSIS100102010S Towards the Methodology for Development of Fuzzy Relational Database Applications (original) (raw)

2014

Abstract. 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 3 rd 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.

On Development of Fuzzy Relational Database Applications

2008

In this paper we examine possibilities to extend relational data model with mechanisms that can handle imprecise, uncertain and inconsistent attribute values using fuzzy logic. We present a model for fuzzy knowledge representation in relational databases and describe PFSQL - a priority fuzzy logic enriched SQL. We give a brief description of fuzzy JDBC driver and FRDB CASE tool that

Fuzzy Relational Database Model and Managemant System for Imprecise Information

Journal of Computer Science and Cybernetics, 2021

This paper introduces a fuzzy relational database model (FRDB) and the management system for it. FRDB is built by extending the classical relational database model with the fuzzy membership degree of tuples in relations. The management system for FRDB with the querying language like SQL is built by using a classical open-source management system.

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