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 …

In this paper, we present a Fuzzy Relational Databases model whose main characteristics
are: the integration of previous models in the same framework, representation capabilities …

In this study of mining stock price data, we attempt to predict the stronger rules of stock
prices. To address this problem, we proposed an effective method, a fuzzy rough set system …

This paper is mainly concerned with the extension of database management systems
querying capabilities, so that users may address queries involving preferences and get …

Fuzzy set approaches have been applied in the database and information retrieval areas for
nearly 30years. Here we give consideration to aspects of these areas that seem to afford the …

Big Data are a paradigm through which valuable information is achieved through the
analysis of a large amount of data. The sources of these data can be varied, from data …

In this paper, we are interested in mining the data with natural ordering according to some
attributes, and the time series data is one of this kind of data. The problem of mining the time …

This paper presents a new fuzzy database architecture called Aliança. Fuzzy databases
usually store information and its associated meta-information in order to add context to the …

In this paper we deal with the problem of treating with dependencies in relational databases
which do not hold in an exact manner as classical functional dependencies but in a weaker …

In this paper a fuzzy approach for image retrieval on the basis of color features is presented.
The proposal deals with vagueness in the color description and introduces the use of fuzzy …