DocumentCode
2214172
Title
Cooperate Company Selected by Fuzzy Neural Network on Rough Set Theory
Author
Jie, Cao ; Fa, Chen Sen
Author_Institution
Sch. of Econ. & Manage., Southeast Univ., Nanjing
Volume
1
fYear
2008
fDate
19-21 Dec. 2008
Firstpage
228
Lastpage
232
Abstract
Paper firstly builds evaluation model of cooperate company of dynamic alliance. Paper secondly confirms weighted by AHP and wipes off condition attribute of redundancy and carries through decision-making rule redundancy by applying Rough Set Theory. Data only has condition attribute of needs by redundancy, but it has possession knowledge of originality. Paper carries through decision-making taxis of cooperator by applying fuzzy evaluation. And evaluate data becomes import data of Neural networks by concealed learning and exercitation, estimate result is validated and taxis by draft value of Neural networks exported. Paper finally uses MATLAB6.5 validate it by instance.
Keywords
decision making; fuzzy neural nets; mathematics computing; rough set theory; AHP; MATLAB6.5; decision making rule redundancy; fuzzy evaluation; fuzzy neural network; rough set theory; Companies; Decision making; Fuzzy neural networks; Fuzzy set theory; Information management; Innovation management; Mathematical model; Neural networks; Reflection; Set theory; AHP Rough Set Theory; fuzzy evaluation; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
Conference_Location
Taipei
Print_ISBN
978-0-7695-3435-0
Type
conf
DOI
10.1109/ICIII.2008.307
Filename
4737534
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