A literature overview of fuzzy database modeling
ZM Ma - Intelligent Databases: Technologies and Applications, 2007 - igi-global.com
Fuzzy set theory has been extensively applied to extend various data models and resulted in
numerous contributions, mainly with respect to the popular relational model or to some …
numerous contributions, mainly with respect to the popular relational model or to some …
Fuzzy association rules: general model and applications
The theory of fuzzy sets has been recognized as a suitable tool to model several kinds of
patterns that can hold in data. In this paper, we are concerned with the development of a …
patterns that can hold in data. In this paper, we are concerned with the development of a …
Mining fuzzy association rules: an overview
The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …
An introduction to the fuzzy set and possibility theory-based treatment of flexible queries and uncertain or imprecise databases
P Bosc, H Prade - Uncertainty Management in Information Systems: From …, 1997 - Springer
The information to be stored in databases is not always precise and certain, and,
occasionally, some information might be missing altogether. 1 When the available …
occasionally, some information might be missing altogether. 1 When the available …
[KNIHA][B] Handbook of fuzzy computation
E Ruspini, P Bonissone, W Pedrycz - 2020 - books.google.com
This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
Using fuzzy sets in flexible querying: Why and how?
The last few years have witnessed a tremendous increase in the use of computers in more
and more domains, the need for managing new kinds of data and for providing new …
and more domains, the need for managing new kinds of data and for providing new …
[KNIHA][B] Fuzzy logic in data modeling: semantics, constraints, and database design
G Chen - 2012 - books.google.com
Page 1 FUZZY LOGIC IN DATA MODELING Semantics, Constraints, and Database Design
by Guoqing Chen Springer Science+Business Media, LLC Page 2 FUZZY LOGIC IN DATA …
by Guoqing Chen Springer Science+Business Media, LLC Page 2 FUZZY LOGIC IN DATA …
Attribute implications in a fuzzy setting
R Bělohlávek, V Vychodil - … , ICFCA 2006, Dresden, Germany, February 13 …, 2006 - Springer
The paper is an overview of recent developments concerning attribute implications in a fuzzy
setting. Attribute implications are formulas of the form A ⟹ B, where A and B are collections …
setting. Attribute implications are formulas of the form A ⟹ B, where A and B are collections …
Generating weighted fuzzy rules from relational database systems for estimating null values using genetic algorithms
SM Chen, CM Huang - IEEE Transactions on Fuzzy Systems, 2003 - ieeexplore.ieee.org
In recent years, some methods have been proposed to estimate null values in relational
database systems. However, the estimated accuracy of the existing methods are not good …
database systems. However, the estimated accuracy of the existing methods are not good …
Towards the implementation of a generalized fuzzy relational database model
This paper shows the necessary elements for the effective implementation of the
generalized fuzzy relational database model. From the model described in Medina et …
generalized fuzzy relational database model. From the model described in Medina et …