DocumentCode :
3418104
Title :
A method for fusing incomplete demand information based on information similarity
Author :
Xiang, Dong ; Zhao, Yong ; Chen, Yang ; Hu, Zhuo
Author_Institution :
Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
19-21 Oct. 2011
Firstpage :
519
Lastpage :
524
Abstract :
Due to customer´s different knowledge background and interests, the demand information is different on presentation and content. A unified information model is built up to standardize information, which includes the demand framework, the effective demand item and the basic desirous function. Based on the information similarity, a fusion method is given to synthesize incomplete information. The steps of the method are relating information, computing relevancy with the incidence matrix and getting weights of customers, etc. Finally, an application in the customer information system is given to verify the feasibility and effectiveness of the model.
Keywords :
consumer behaviour; customer services; information needs; information systems; basic desirous function; customer information system; customer knowledge background; incidence matrix; incomplete demand information fusion method; incomplete information synthesis; information similarity; information standardization; unified information model; Computational modeling; Correlation; Data mining; Fuses; Information systems; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
Type :
conf
DOI :
10.1109/IWACI.2011.6160063
Filename :
6160063
Link To Document :
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