Crisp spatial objects are geometric features with exact location on the extent and well-known
boundaries. On the other hand, vague or fuzzy spatial objects are characterized by uncertain …

Résumé L'objectif de l'article est de présenter le projet ANR CHOUCAS qui ambitionne de
proposer des méthodes et des outils pour constituer, enrichir, interroger et visualiser des …

The emergence of spatial or geographic data in DW Systems defines new models that
support the storage and manipulation of the data. The need to build an SDW and to optimize …

The vagueness in decision-making may be due to ambiguity in the decisional requirements
expression. Therefore, in the literature dealing with vagueness in decision systems, studies …

Spatial vagueness has been increasingly required by geoscientists to handle vague spatial
objects, that is, spatial objects found in real-world phenomena that do not have exact …

Abstract Spatial Data Warehouses (SDWs) and Spatial On-Line Analytical Processing
(SOLAP) systems are new technologies for the integration and the analysis of huge volume …

Crisp spatial data are geometric features with exact location on the extent and well-known
boundaries. On the other hand, vague spatial data are characterized by inaccurate locations …

Spatial vagueness has been required by geoscientists to handle vague spatial objects, ie,
spatial objects that do not have exact locations, strict boundaries, or sharp interiors …

Spatial data warehouses (SDWs) and spatial OLAP (SOLAP) are well–known business
intelligence (BI) technologies that aim to support multidimensional and online analysis of …

Spatial vagueness is one kind of spatial data imperfection concerning the difficulty of
distinguishing an object's shape from its neighborhood [1, 4, 5]. For instance, given an …