Using Attribute and Attitude Assessment for Bidding in Automated Auctions

Goyal, ML; Zhang, G

Using Attribute and Attitude Assessment for Bidding in Automated Auctions

Goyal, ML

Zhang, G

Permalink

Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: The 11th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2009), 2009, pp. 1 - 5
Issue Date:: 2009-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (84.07 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Goyal, ML https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.editor	Kotsis, G	en_US
dc.contributor.editor	Taniar, D	en_US
dc.contributor.editor	Pardede, E	en_US
dc.contributor.editor	Khalil, I	en_US
dc.date	2009-12-14	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	The 11th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2009), 2009, pp. 1 - 5	en_US
dc.identifier.isbn	978-3-85403-260-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11939
dc.description.abstract	An automated auction is an efficient market institution for realworld trading of commodities. This paper presents a novel fuzzy bidding strategy(FAA-Bid), which employs assessments of multiple attributes of items as well as agents attitude on bidding item 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.	en_US
dc.publisher	ACM	en_US
dc.relation.ispartof	The 11th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2009)	en_US
dc.relation.ispartof	Information Integration and Web-based Applications and Services	en_US
dc.title	Using Attribute and Attitude Assessment for Bidding in Automated Auctions	en_US
dc.type	Conference Proceeding
utslib.location	Kaula Lumpur, Malaysia	en_US
utslib.location.activity	Kaula Lumpur, Malaysia	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Kaula Lumpur, Malaysia	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	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Kaula Lumpur, Malaysia	en_US
pubs.start-date	2009-12-14	en_US

Abstract:

An automated auction is an efficient market institution for realworld trading of commodities. This paper presents a novel fuzzy bidding strategy(FAA-Bid), which employs assessments of multiple attributes of items as well as agents attitude on bidding item 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.

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

http://hdl.handle.net/10453/11939