Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2018
Genre:	Naturwissensch., Medizin, Technik
	Algorithms for Spatial Disaggregation / Artificial Intelligence / B / Computational Intelligence / Data Mining / Data Mining and Knowledge Discovery / Defuzzification Methods / engineering / Expert systems / knowledge-based systems / Geographical Information System / Geographical information systems / Geographical information systems & remote sensing / Geographical Information Systems/Cartography / Geographische Informationssysteme (GIS) und Fernerkundung / Mamdani Rulebase Systems / Spatial Similarity between Different Grids / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783030002374
EAN-Code:	9783030002374
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#370 - Studies in Fuzziness and Soft Computing
Dimensionen:	H 235 mm / B 155 mm / D 14 mm
Gewicht:	401 gr
Seiten:	135
Illustration:	XVI, 135 p. 53 illus., 46 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding.  The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.