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Rough sets in approximate spatial reasoning

  • Université Laval
  • Keele University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

Abstract

In spatial reasoning the qualitative description of relations between spatial regions is of practical importance and has been widely studied. Examples of such relations are that two regions may meet only at their boundaries or that one region is a proper part of another. This paper shows how systems of relations between regions can be extended from precisely known regions to approximate ones. One way of approximating regions with respect to a partition of the plane is that provided by rough set theory for approximating subsets of a set. Relations between regions approximated in this way can be described by an extension of the RCC5 system of relations for precise regions. Two techniques for extending RCC5 are presented, and the equivalence between them is proved. A more elaborate approximation technique for regions (boundary sensitive approximation) takes account of some of the topological structure of regions. Using this technique, an extension to the RCC8 system of spatial relations is presented.

Original languageEnglish
Title of host publicationRough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers
EditorsWojciech Ziarko, Yiyu Yao
PublisherSpringer Verlag
Pages445-453
Number of pages9
ISBN (Print)3540430741, 9783540430742
DOIs
StatePublished - 2001
Event2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, Canada
Duration: Oct 16 2000Oct 19 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2005
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000
Country/TerritoryCanada
CityBanff
Period10/16/0010/19/00

Keywords

  • Approximate regions
  • Qualitative spatial reasoning

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