JOURNAL ARTICLE

Qualitative topological relations between interval type‐2 fuzzy spatial objects

Jifa GuoXiaodong ShaoXunqiang Mo

Year: 2018 Journal:   Transactions in GIS Vol: 22 (6)Pages: 1596-1631   Publisher: Wiley

Abstract

Abstract The topological relations between fuzzy objects are crucial in geographical spatial analysis. A qualitative topological relationship analysis method for interval type‐2 fuzzy spatial objects (IT2 FSOs) is proposed in this article. Similarities between the interval type‐2 fuzzy topological relation matrices and the corresponding crisp topological relation matrices are calculated using Jaccard's similarity measure and sorted to identify the two major relations. Next, the proximity degrees and quantifiers that correspond to these two major relations can be determined. Thus, two methods can be used to describe the relation between two IT2 FSOs; the method proposed in this article conforms to human cognitive habits and meets the requirements of a variety of applications in geographical information systems (GIS). Users can select different boundary definitions, intersection matrix types, and calculation functions for each cell in the intersection matrix, as well as different description methods according to the requirements of different GIS applications.

Keywords:
Intersection (aeronautics) Relation (database) Jaccard index Interval (graph theory) Fuzzy logic Fuzzy set Type (biology) Boundary (topology) Similarity (geometry) Topology (electrical circuits) Mathematics Matrix (chemical analysis) Computer science Data mining Theoretical computer science Artificial intelligence Pattern recognition (psychology) Geography Image (mathematics) Combinatorics Cartography

Metrics

7
Cited By
0.42
FWCI (Field Weighted Citation Impact)
53
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Constraint Satisfaction and Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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