A fuzzy attitude based bidding strategy in continuous double auctions

Goyal, M; Ma, J

A fuzzy attitude based bidding strategy in continuous double auctions

Goyal, M

Ma, J

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Publication Type:: Journal Article
Citation:: Web Intelligence and Agent Systems, 2012, 10 (1), pp. 65 - 74
Issue Date:: 2012-03-28

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Field	Value	Language
dc.contributor.author	Goyal, M https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Ma, J	en_US
dc.date.issued	2012-03-28	en_US
dc.identifier.citation	Web Intelligence and Agent Systems, 2012, 10 (1), pp. 65 - 74	en_US
dc.identifier.issn	1570-1263	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22252
dc.description.abstract	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. © 2012-IOS Press and the authors. All rights reserved.	en_US
dc.relation.ispartof	Web Intelligence and Agent Systems	en_US
dc.relation.isbasedon	10.3233/WIA-2012-0231	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A fuzzy attitude based bidding strategy in continuous double auctions	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	10	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0899 Other Information and Computing Sciences	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

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. © 2012-IOS Press and the authors. All rights reserved.

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http://hdl.handle.net/10453/22252