A Multi-attribute Auction Model by Dominance-based Rough Sets Approach
Computer Science and Information Systems, Tome 7 (2010) no. 4
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As an alternative to the price-based traditional auction model, the multi-attribute auction model is an integrated model requiring the simultaneous trade of different types of attributes as the sellers and buyers deal. As a result, the design and modeling of the auction mechanism have become very difficult. This paper proposes a multi-attribute auction model using the dominance-based rough sets approach (DRSA). The multi-attribute decision method by DRSA can directly mine out the preference relations between the attributes of alternatives so that relevant auction mechanisms can be designed. This model uses a natural reasoning procedure similar to that of decision makers. Finally, a numerical example demonstrates the simplicity, efficiency, and feasibility of the proposed auction model.
Keywords:
ulti-attribute decision, rough sets, auction, DRSA
@article{CSIS_2010_7_4_a10,
author = {Rong Zhang and Bin Liu and Sifeng Liu},
title = {A {Multi-attribute} {Auction} {Model} by {Dominance-based} {Rough} {Sets} {Approach}},
journal = {Computer Science and Information Systems},
year = {2010},
volume = {7},
number = {4},
url = {http://geodesic.mathdoc.fr/item/CSIS_2010_7_4_a10/}
}
Rong Zhang; Bin Liu; Sifeng Liu. A Multi-attribute Auction Model by Dominance-based Rough Sets Approach. Computer Science and Information Systems, Tome 7 (2010) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2010_7_4_a10/