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