A Novel Approach to Find the Revising and Launching Automobile Type

Author

Lin, Jie ; Xu, Xu

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

489

Lastpage

492

Abstract

Nowadays, many decision models are the revision of data-driven. These models are defined as follows: given an existing model and a set of data items, revise the model to match the data items. In this paper, a novel study on the revising and launching automobile type is based on decision support and business intelligence system. Fuzzy set theory and expert knowledge are also employed and a new association rule algorithm is yielded during the research. The model is tested under experiment environment and gets satisfaction results. So the model is provable and valuable.

Keywords

decision support systems; fuzzy set theory; association rule algorithm; automobile type; business intelligence system; decision models; decision support system; expert knowledge; fuzzy set theory; Automobiles; Conference management; Data mining; Engines; Environmental economics; Fuzzy set theory; Fuzzy systems; Intelligent systems; Knowledge management; Vehicle safety; Automobile type; Business intelligence system; Decision support system; Expert knowledge; Fuzzy set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.596

Filename

4666293