A general linear regression model for studying the dependence of a LR fuzzy response variable on a set of crisp explanatory variables, along with a suitable iterative least squares estimation procedure, is introduced.Expand

For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes.Expand

The Fuzzy k-Means clustering model (FkM) is a powerful tool for classifying objects into a set of k homogeneous clusters by means of the membership degrees of an object in a cluster.Expand

Clustering of multivariate spatial-time series should consider: 1) the spatial nature of the objects to be clustered; 2) the characteristics of the feature space; 3) the uncertainty associated to the assignment of a spatial unit to a given cluster on the basis of the above complex features.Expand

The basic types of 3-way data matrices are described. The special case of one or more sets of qualitative characters observed on one or more groups of individuals is then examined. Several… Expand

Data Mining (DM) is examined in a statistical perspective, as a methodological area where the objective is to extract useful information from very large databases.Expand

The fuzzy perspective in statistical analysis is first illustrated with reference to the “Informational Paradigm–allowing us to deal with different types of uncertainties related to the various… Expand

Mathematical Aspects of Multiway Data Arrays. (Contributors: R. Coppi, F. Critchley J.B. Kruskal A. Franc J.B. Denis, T. Dhorne G. D'Aubigny, E. Polit J.M.F. ten Berge B. Leclerc). Relationships and… Expand