Title :
Linguistic ranking model and its application in food management
Author :
Xu, Jianling ; Deng, Yong
Author_Institution :
Grain Econ. Inst., Nanjing Univ. of Finance & Econ., Nanjing, China
Abstract :
Grain security warning is very important for decision making of government. How to present a reasonable warning is still an open issue. Due to the uncertainty in the grain security warning process, it is reasonable to construct prediction model under the framework of fuzzy sets theory and Dempster Shafer evidence theory. In this paper, a fuzzy evidential grain security warning method is proposed. The warning model can be seen as a multi-attribute decision making (MADM) problem. The data of each attribute are combined through the Demspter rule.
Keywords :
agricultural products; agricultural safety; alarm systems; computational linguistics; decision making; food safety; fuzzy set theory; government policies; inference mechanisms; uncertainty handling; Dempster Shafer evidence theory; food management; fuzzy evidential grain security warning; fuzzy set theory; government decision making; grain security warning process; linguistic ranking model; multiattribute decision making; prediction model; Application software; Data security; Decision making; Economic forecasting; Finance; Financial management; Fuzzy set theory; Fuzzy sets; Safety; Technology management; Desmpeter Shafer evidence theory; MADM; data fusion; fuzzy sets theory; grain security warnning;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541279
