The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Rough Sets and Granular Computing in Geospatial Information
|
|
Author(s): Iftikhar U. Sikder (Cleveland State University, USA)
Copyright: 2009
Pages: 6
Source title:
Handbook of Research on Geoinformatics
Source Author(s)/Editor(s): Hassan A. Karimi (University of Pittsburgh, USA)
DOI: 10.4018/978-1-59140-995-3.ch020
Purchase
|
Abstract
The representation of geographic entities is characterized by inherent granularity due to scale and resolution specific observations. This article discusses the various aspects of rough set-based approximation modeling of spatial and conceptual granularity. It outlines the context and applications of rough set theory in representing objects with intermediate boundaries, spatial reasoning and knowledge discovery.
Related Content
|
Salwa Saidi, Anis Ghattassi, Samar Zaggouri, Ahmed Ezzine.
© 2021.
19 pages.
|
|
Mehmet Sevkli, Abdullah S. Karaman, Yusuf Ziya Unal, Muheeb Babajide Kotun.
© 2021.
29 pages.
|
|
Soumaya Elhosni, Sami Faiz.
© 2021.
13 pages.
|
|
Symphorien Monsia, Sami Faiz.
© 2021.
20 pages.
|
|
Sana Rekik.
© 2021.
9 pages.
|
|
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah.
© 2021.
14 pages.
|
|
Mustapha Mimouni, Nabil Ben Khatra, Amjed Hadj Tayeb, Sami Faiz.
© 2021.
18 pages.
|
|
|