A fuzzy bidding strategy in automated auctions using agent's perspective

Ma, J; Goyal, ML

A fuzzy bidding strategy in automated auctions using agent's perspective

Ma, J Goyal, ML

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Publication Type:: Conference Proceeding
Citation:: 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, 2008, pp. 907 - 911
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Goyal, ML https://orcid.org/0000-0003-2853-9393	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, 2008, pp. 907 - 911	en_US
dc.identifier.isbn	9780769535142	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10882
dc.description.abstract	This paper presents a unique fuzzy attitude based bidding strategy (FA-Bid), which employs overall assessment technique, which is combination of assessment of multiple attributes of the goods and assessment of agent's attitude to procure an item in automated auction. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process as well use heuristic rules to determine attitude of bidding agents in simulated auctions to procure goods. The overall assessment is used to determine a price range based on current bid, which finally selects the best one as the new bid. © 2008 IEEE.	en_US
dc.relation.ispartof	2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008	en_US
dc.relation.isbasedon	10.1109/CIMCA.2008.103	en_US
dc.title	A fuzzy bidding strategy in automated auctions using agent's perspective	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	080110 Simulation and Modelling	en_US
dc.location.activity	Vienna, Austria	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.publication-status	Published	en_US

Abstract:

This paper presents a unique fuzzy attitude based bidding strategy (FA-Bid), which employs overall assessment technique, which is combination of assessment of multiple attributes of the goods and assessment of agent's attitude to procure an item in automated auction. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process as well use heuristic rules to determine attitude of bidding agents in simulated auctions to procure goods. The overall assessment is used to determine a price range based on current bid, which finally selects the best one as the new bid. © 2008 IEEE.

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http://hdl.handle.net/10453/10882