Title :
Membership grade normalization of GIS uncertainty model and two fuzzy overlay algorithms
Author :
Wang, Xiaodong ; Dang, Anrong
Author_Institution :
Sch. of Archit., Tsinghua Univ., Beijing, China
Abstract :
Uncertainty research is an important research focus of GIS. Fuzzy set theories provide a good method for GIS uncertainty model to describe the world more externally. Based on fuzzy set theories, membership grade normalization (MGN) applied to GIS temporal dimension, spatial dimension and thematic dimension is proposed. The intersection operator and union operator of traditional fuzzy set theories could not meet MGN. It is necessary to construct a new fuzzy overlay operator. At last, two fuzzy overlay algorithms meeting MGN are given
Keywords :
fuzzy set theory; geographic information systems; geophysics computing; uncertainty handling; GIS; fuzzy overlay algorithm; fuzzy set theory; geographic information system; geophysics computing; membership grade normalization; spatial dimension; temporal dimension; thematic dimension; uncertainty model; Computational Intelligence Society; Data models; Fuzzy set theory; Fuzzy sets; Geographic Information Systems; Humans; Mathematics; Postal services; Probability distribution; Uncertainty;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.858330
