9783540237136 - Fuzzy Modeling with Spatial Information for Geographic Problems (7 resultados)

Hardcover. Condición: Fair. No Jacket. Former library book; Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condición: Good. Estado de la sobrecubierta: No Dust Jacket. First Edition. An ex-library copy in original pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little wear to the covers. No dust jacket, apparently as issued. Book.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 337 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condición: New. In.

Gebunden. Condición: New. First book collecting a broad spectrum of research on geographic information uncertainty using Fuzzy ModelingThe capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communication.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Condición: Neu. Neuware - The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies.