DocumentCode
3285943
Title
Application in mold quotation with the fuzzy set & rough set theory
Author
Liu, Chongxin
Author_Institution
Dept. of Inf. Manage., Hubei Univ. of Automotive Technol., Shiyan, China
fYear
2011
fDate
15-17 April 2011
Firstpage
2997
Lastpage
3000
Abstract
Enterprises lie in very dynamic ,uncertain competitive environment with the application & development of information technology and the productivity on the increase . The traditional quotation methods of molds have gone out of date. This paper presents a new quotation method of molds combining fuzzy set theory with rough sets according to the constituents of mold price . Firstly, it has built a mathematic model rapidly estimating mold cost based on fuzzy similarity comparison in fuzzy set theory. Secondly, it introduces data mining & reduction to customer information data base by means of rough sets, and proposes the customer classification rules with a instance in details. Finally, it gives a quotation system architecture frame for molds combining fuzzy set theory with rough sets. The new quotation method of molds both rapidly & accurately estimates mold cost and gives rational profit ratio according to customers´ classification. In the quotation process it not only considers the cost factors of molds,but also judges enterprise´s profit ratio. Therefore this mold quotation is made scientifically and reliably for enterprises to win customers and make profits .
Keywords
data mining; data reduction; fuzzy set theory; moulding; pricing; production engineering computing; rough set theory; customer classification rule; data mining; data reduction; fuzzy set theory; fuzzy similarity comparison; information technology; mathematic model; mold quotation; quotation system architecture frame; rational profit ratio; rough set theory; Data mining; Fuzzy set theory; Fuzzy systems; Research and development; Rough sets; decision rule; fuzzy similarity comparison; mold quotation; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777892
Filename
5777892
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