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CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Modelling spatial vagueness based on type-2 fuzzy set
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Du Guo-ning, Zhu Zhong-ying. Modelling spatial vagueness based on type-2 fuzzy set[J]. Journal of Zhejiang University Science A, 2006, 7(2): 250-256.
@article{title="Modelling spatial vagueness based on type-2 fuzzy set",
author="Du Guo-ning, Zhu Zhong-ying",
journal="Journal of Zhejiang University Science A",
volume="7",
number="2",
pages="250-256",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0250"
}
%0 Journal Article
%T Modelling spatial vagueness based on type-2 fuzzy set
%A Du Guo-ning
%A Zhu Zhong-ying
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 2
%P 250-256
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0250
TY - JOUR
T1 - Modelling spatial vagueness based on type-2 fuzzy set
A1 - Du Guo-ning
A1 - Zhu Zhong-ying
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 2
SP - 250
EP - 256
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0250
Abstract: The modelling and formal characterization of spatial vagueness plays an increasingly important role in the implementation of geographic Information System (GIS). The concepts involved in spatial objects of GIS have been investigated and acknowledged as being vague and ambiguous. Models and methods which describe and handle fuzzy or vague (rather than crisp or determinate) spatial objects, will be more necessary in GIS. This paper proposes a new method for modelling spatial vagueness based on type-2 fuzzy set, which is distinguished from the traditional type-1 fuzzy methods and more suitable for describing and implementing the vague concepts and objects in GIS.
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