A fuzzy attitude based bidding strategy in continuous double auctions

Publisher:
IOS Press
Publication Type:
Journal Article
Citation:
Web Intelligence and Agent Systems, 2012, 10 (1), pp. 65 - 74
Issue Date:
2012
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011007979OK.pdf226.03 kB
Adobe PDF
To be successful in Continuous Double Auctions, agents must be capable of adapting to continuously changing bidding prices. This paper presents a novel fuzzy attitude-based bidding strategy (FA-Bid), which employs a dual assessment technique i.e. the assessment of multiple attributes of the goods as well as the assessment of the agent's attitude (eagerness) to procure an item in an automated auction. The assessment of attributes adopts the fuzzy sets technique to handle the uncertainty of the bidding process, as well as using the heuristic rules to determine the attitudes of bidding agents in simulated auctions to procure goods. The overall assessment is used to determine a price range from which the best one is selected as the new bid.
Please use this identifier to cite or link to this item: