Rough spatial interpretation

Shuliang Wang, Manning Yuan, Guoqing Chen, Deren Li, Wenzhong Shi

Research output: Journal article publicationConference articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Rough set is a new approach to uncertainties in spatial analysis. In this paper, we complete three works under the umbrella of rough space. First, a set of simplified rough symbols is extended on the basis of existing rough symbols. It is in terms of rough interpretation and specialized indication. Second, rough spatial entity is proposed to study the real world as it is, without forcing uncertainties to change into a crisp set. Third, rough spatial topological relationships are studied by using rough matrix and their figures. The relationships are divided into three types, crisp entity and crisp entity (CC), rough entity and crisp entity (RC) and rough entity and rough entity (RR). A universal intersected equation is further developed. Finally, rough membership function is further extended with the gray scale in our case study. And the maximum and minimum maps of river thematic classification are generated via the rough membership function and rough relationships.
Original languageEnglish
Pages (from-to)435-444
Number of pages10
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3066
Publication statusPublished - 9 Dec 2004
Event4th International Conference, RSCTC 2004 - Uppsala, Sweden
Duration: 1 Jun 20045 Jun 2004

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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