DocumentCode :
2150486
Title :
Bid Evaluation of Electric Equipment Based on VIKOR Method
Author :
Wu, Shuyan ; Xu, Lei ; Yan, Tao
Author_Institution :
Dept. of Inf. Eng., Zhengzhou Coll. of Animal Husbandry Eng., Zhengzhou
fYear :
2008
fDate :
30-31 Dec. 2008
Firstpage :
752
Lastpage :
755
Abstract :
Multiple criteria decision modeling is proposed for determining the most preferred bidding markup in a competitive bidding situation. This paper presents a new evaluation approach - VIKOR method - to solve the MCDM (multiple criteria decision making) problems with conflicting criteria or criteria of different units. Since this method provides a maximum "group utility" of the "majority" and a minimum of the individual regret of the "opponent", the obtained compromise solution could be readily accepted by the decision makers. Besides, The coefficients of weight for evaluation factors are obtained from the avail value of data reflecting the information entropy, by which the weight allocation is more reasonable. A numerical example is presented to illustrate the methodological issues in the bid evaluation and the numerical results show that the proposed approach is effective. This method can precisely demonstrate the bidding units\´ technological and economical characteristic.
Keywords :
decision making; group theory; pricing; VIKOR method; bid evaluation; bidding markup; competitive bidding situation; electric equipment; group utility; information entropy; multiple criteria decision making problems; multiple criteria decision modeling; weight allocation; Animals; Decision making; Educational institutions; Energy management; Information entropy; Information technology; Power generation economics; Power system economics; Power system management; Stability; Bid Evaluation; Electric equipment; Entropy Weight; VIKOR; multiple criteria decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
Conference_Location :
Three Gorges
Print_ISBN :
978-0-7695-3556-2
Type :
conf
DOI :
10.1109/MMIT.2008.70
Filename :
5089231
Link To Document :
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