Title :
Determination of index weights on interval grey number correlation
Author :
Tao, Zhang ; Hongyan, Liu
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Abstract :
In decision-making process, the index weight is identified as a core issue. The traditional correlation index weight determining method requires the experts to give the weights in the form of definite numbers based on experience. But in many cases , the experts in determining weights only give interval grey number weights which including of both certainty and uncertainty. This article, through a certain mathematical transformations, improved the traditional method of grey correlation degree seeking weights to get the new index weight reflecting in the subjective and objective factors simultaneously. And we applied the new method in the final instance. Our method expands the range of correlation method of seeking weight.
Keywords :
decision making; grey systems; correlation index weight determining method; decision-making process; grey correlation degree seeking weights; index weights; interval grey number correlation; interval grey number weights; mathematical transformations; Australia; Correlation; Decision making; Intelligent transportation systems; Kirk field collapse effect; Power electronics; Road transportation; Space technology; Uncertainty; Upper bound; grey correlation degree; interval grey number; weight;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5406841