The selection of regional key technology based on the hybrid model of grey fixed clustering and variable precision rough set

Authors:
Jian Lirong;Liu Sifeng;Liu Yong
Affiliations:
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China;College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China;College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Venue:
ISTASC'10 Proceedings of the 10th WSEAS international conference on Systems theory and scientific computation
Year:
2010

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Abstract

Decision tables need be first given before rough set models or extensions of rough set model are used to make decision. However, in many uncertain practical decisions, data set can only build knowledge presentation system but impossible to generate decision tables. A hybrid approach of grey clustering and variable precision rough set is proposed in the paper. The basic idea of the hybrid method is as follows. Firstly, a multiple attribute decision table is established by grey fixed weight clustering, and then probabilistic decision rules are derived by applying variable precision rough set. The proposed method is applied to the selection of regional key technology, and the extracted rules can provide decision reference for decision makers.