Frederick E. Petry & Adnan Yazici 
Uncertainty Approaches for Spatial Data Modeling and Processing 
A decision support perspective

We are facing an immense growth of digital data and information resources, both in terms of size, complexity, modalities and intrusiveness. Almost every aspect of our existence is being digitally captured. This is exemplified by the omnipresent existence of all kinds of data storage, far beyond those stored in traditional relational databases. The spectrum of data being digitally stored runs from multimedia data repositories to your purchases in most stores. Every tweet that you broadcast is captured for posterity. Needless to say this situation posses new research opportunities, challenges and problems in the ways we store, manipulate, search, and – in general – make use of such data and information. Attempts to cope with these problems have been emerging all over the world with thousands of people devoted to developing tools and techniques to deal with this new area of research. One of the prominent scholars and researchers in this field was the late Professor Ashley Morris who died suddenly and tragically at a young age. Ashley’s career begun in industry, where he specialized in databases.

Cuprins

Decision Support, OLAP, Data Fusion and GIS.- Decision Support Classification of Geospatial and Regular Objects Using Rough and Fuzzy Sets.- Supporting Spatial Decision Making by Means of Suitability Maps.- Exploring the Sensitivity of Fuzzy Decision Models to Landscape Information Inputs in a Spatially Explicit Individual-Based Ecological Model.- Fuzzy Multidimensional Databases.- Expressing Hierarchical Preferences in OLAP Queries.- Imperfect Multisource Spatial Data Fusion Based on a Local Consensual Dynamics.- Database Querying, Spatial and Temporal Databases.- Querying Fuzzy Spatiotemporal Databases: Implementation Issues.- Bipolar Queries: A Way to Deal with Mandatory and Optional Conditions in Database Querying.- On Some Uses of a Stratified Divisor in an Ordinal Framework.- Integration of Fuzzy ERD Modeling to the Management of Global Contextual Data.- Repercussions of Fuzzy Databases Migration on Programs.