DocumentCode
2526720
Title
A novel approach for proactive delivery of spatial information
Author
Xia, Yu ; Zhu, Xinyan ; Gong, Jun
Author_Institution
Sch. of Geogr. & Environ., Jiangxi Normal Univ., Nanchang, China
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
170
Lastpage
173
Abstract
A novel approach for proactive spatial information delivery is put forward. From the point of view of decision-making theory, spatial information delivery process can be seen as decision making and implementation. Note that the classic TOPSIS method in Multi-Attribute Decision-Making theory reveals two problems when applying in the delivery of spatial information and one is the difficulty of achieving ideal solution, and the other is the difficulty of getting spatial information utility degree. To solve the two problems, ideal solution is gotten through user profiles, and utility degree is obtained through the measurement of feature distances. So the proactive delivery decision-making based on the improved TOPSIS is proposed. The approach consists of following steps: data source collecting; user profile constructing; proactive delivery. Firstly, original data are collected by system, and useful information is refined; Secondly, user profiles are constructed on the basis of refined information; Thirdly, the utility degrees of spatial information for users and the pairs are achieved which are the information to be disseminated and the corresponding users. After proactive delivery decision making and subsequent delivery implementation, proactive delivery is consequently available.
Keywords
decision making; information dissemination; TOPSIS method; feature distance measurement; information dissemination; multiattribute decision making; proactive delivery; spatial information; Analytical models; Data models; Decision making; Manufacturing processes; Materials; Research and development; Upper bound; Proactive delivery; decision making; spatial information; user profile; utility degree;
fLanguage
English
Publisher
ieee
Conference_Titel
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location
Fuzhou
Print_ISBN
978-1-4244-8352-5
Type
conf
DOI
10.1109/ICSDM.2011.5969026
Filename
5969026
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