Title :
A novel grey clustering group decision-making model and application
Author :
Huan-huan Zhao; Li-rong Jian; Yong Liu
Author_Institution :
College of economics and management, Nanjing University of Aeronautics and Astronautics, 211106, China
Abstract :
The combined influences of the attributes are very crucial for the evaluation results in decision-making. In order to deal with the problem multi-attributes should be simultaneously considered, the thought of grey clustering is exploited to establish a novel grey clustering group decision-making model based on combination of attributes, and then it is applied into the regional types of the regional innovation in China. The results show that the proposed model can resolve the decision making problem with multi- attributes interaction, and realize the scientific and correct classification.
Keywords :
"Reliability","Technological innovation"
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8374-2
DOI :
10.1109/GSIS.2015.7301877