The work presented in this thesis deals with the subject of exploration and manipulation of database summaries with significant size. The summaries produced by SaintEtiQ system are multilevel materialized views of homogeneous data clusters, presented with a collections of fuzzy labels available on each attribute. Our thesis contribution is based on three points. Initially we defined a logical d...

The clustering algorithm hybridization scheme has become of research interest in data partitioning applications in recent years. The present paper proposes a Hybrid Fuzzy clustering algorithm (combination of Fuzzy C-means with extension and Subtractive clustering algorithm) for data classifications applications. The fuzzy c-means (FCM) and subtractive clustering (SC) algorithm has been widely d...

A functional dependency describes the relationship between attributes in a database relation. It states that the value of an attribute is uniquely determined by the values of some other attributes. It serves as a constraint between the attributes and is being used in the normalization process of relational database design. Therefore the discovery of functional dependencies from databases has be...

yDepartamento de Instrumentación Industrial, Inst. Univ. de Tecnologı́a ‘‘Alonso Gamero’’, 4101 Coro-Estado Falcón, Venezuela zDepartament de Llenguatges i Sistemes Informàtics, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain xDepartamento de Lenguajes y Sistemas Informáticos, Universidad de Granada, 18071 Granada, Spain {Departament d’Enginyeria de Sistemes, Automàtica i Informàtic...

The amount of data for decision making has increased tremendously in the age of the digital economy. Decision makers who fail to proficiently manipulate the data produced may make incorrect decisions and therefore harm their business. Thus, the task of extracting and classifying the useful information efficiently and effectively from huge amounts of computational data is of special importance. ...

This paper addresses the structure and an associated learning algorithm of a feedforward multilayered connectionist network for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed fuzzy adaptive learning control network (FALCON) can be contrasted with the traditional fuzzy logic control systems in their network structure and learning ability. A struc...

The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distributions. The GoM clustering algorithm derived from the GoM model is used in cluster analysis for categorical data, but it is iterated with complicated calculations. In this paper we create another approach, termed a f...

Evolutionary Optimization is becoming omnipresent technique in almost every process of intelligent system design. Just to name few, engineering, control, economics and forecasting are some of the scientific fields that take advantage of an evolutionary computational process that aid in engineering systems with intelligent behavior. This special issue of Journal of Universal Computer Science is ...