Designing a successful bidding strategy using fuzzy sets and agent attitudes

Ma, J; Goyal, ML

Designing a successful bidding strategy using fuzzy sets and agent attitudes

Ma, J Goyal, ML

Permalink

Publication Type:: Chapter
Citation:: Advanced Information and Knowledge Processing, 2015, 46 pp. 359 - 370
Issue Date:: 2015-01-01

Closed Access

	Filename	Description	Size
	2010000439OK.pdf		409.17 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

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	2015-01-01	en_US
dc.identifier.citation	Advanced Information and Knowledge Processing, 2015, 46 pp. 359 - 370	en_US
dc.identifier.uri	http://hdl.handle.net/10453/14277
dc.description.abstract	© Springer-Verlag London Limited 2010. To be successful in a multi-attribute auction, agents must be capable of adapting to continuously changing bidding price. This chapter presents a novel fuzzy attitude-based bidding strategy (FA-Bid), which employs dual assessment technique, i.e., assessment of multiple attributes of the goods as well as assessment of agents’ attitude (eagerness) 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 the 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.	en_US
dc.relation.ispartof	Advanced Information and Knowledge Processing	en_US
dc.relation.isbasedon	10.1007/978-1-84882-628-1_16	en_US
dc.title	Designing a successful bidding strategy using fuzzy sets and agent attitudes	en_US
dc.type	Chapter
utslib.citation.volume	46	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Hong Kong, PEOPLES R CHINA
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
pubs.volume	46	en_US

Abstract:

© Springer-Verlag London Limited 2010. To be successful in a multi-attribute auction, agents must be capable of adapting to continuously changing bidding price. This chapter presents a novel fuzzy attitude-based bidding strategy (FA-Bid), which employs dual assessment technique, i.e., assessment of multiple attributes of the goods as well as assessment of agents’ attitude (eagerness) 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 the 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/14277