Title :
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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.596
