Abstract
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Article Information:
Analysis Method and its Application of Weighted Grey Relevance Based on Super Efficient DEA
Zheng Xie and Lianguang Mo
Corresponding Author: Zheng Xie
Submitted: May 08, 2012
Accepted: May 29, 2012
Published: January 11, 2013 |
Abstract:
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For the objectivity issue of grey relevance analysis method determining weight, a new weighted grey
relevance analysis method based on super efficient DEA has been proposed. The new method combines the
advantage of super efficient DEA analysis and grey relevance analysis and takes grey relevance analysis as the
central model and super efficient model as the sub-model, which determines the weight vector of all the relevance
coefficient from every observation point of each sub factor, then calculates the comparatively best relation grade and
obtains objective superior sequence of all factors. Super DEA can improve the resolving power of the model to grey
relation grade, breakthrough the limit of weight sum being one and make the average weight more flexible. The
validity of the combined algorithm has been proved by the case study of the influencing factors of vacant
commercial housing.
Key words: Grey relevance method, relation grade, super efficient DEA, weight, , ,
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Cite this Reference:
Zheng Xie and Lianguang Mo, . Analysis Method and its Application of Weighted Grey Relevance Based on Super Efficient DEA. Research Journal of Applied Sciences, Engineering and Technology, (02): 470-474.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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