Using fuzzy set approach in multi-attribute automated auctions

Goyal, M; Kaushik, S

Using fuzzy set approach in multi-attribute automated auctions

Goyal, M

Kaushik, S

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Publication Type:: Conference Proceeding
Citation:: ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, 2010, 4 SAIC pp. 81 - 85
Issue Date:: 2010-12-13

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Field	Value	Language
dc.contributor.author	Goyal, M https://orcid.org/0000-0003-2853-9393	en_US
dc.contributor.author	Kaushik, S	en_US
dc.date.issued	2010-12-13	en_US
dc.identifier.citation	ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, 2010, 4 SAIC pp. 81 - 85	en_US
dc.identifier.isbn	9789898425072	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16267
dc.description.abstract	This paper designs a novel fuzzy attributes and competition based bidding strategy (FAC-Bid), in which the final best bid is calculated on the basis of the assessment of multiple attributes of the goods and the competition for the goods in the market. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process. The bidding strategy also uses and determines competition in the market (based on the two factors i.e. no. of the bidders participating and the total time elapsed for an auction) using Mamdani's Direct Method. Then the final price of the best bid will be determined based on the assessed attributes and the competition in the market using fuzzy reasoning technique.	en_US
dc.relation.ispartof	ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems	en_US
dc.title	Using fuzzy set approach in multi-attribute automated auctions	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4 SAIC	en_US
utslib.for	0806 Information Systems	en_US
dc.location.activity	Funchal, Madeira, Portugal	en_US
dc.location.activity	ISI:000207912000005
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.publication-status	Published	en_US
pubs.volume	4 SAIC	en_US

Abstract:

This paper designs a novel fuzzy attributes and competition based bidding strategy (FAC-Bid), in which the final best bid is calculated on the basis of the assessment of multiple attributes of the goods and the competition for the goods in the market. The assessment of attributes adapts the fuzzy sets technique to handle uncertainty of the bidding process. The bidding strategy also uses and determines competition in the market (based on the two factors i.e. no. of the bidders participating and the total time elapsed for an auction) using Mamdani's Direct Method. Then the final price of the best bid will be determined based on the assessed attributes and the competition in the market using fuzzy reasoning technique.

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http://hdl.handle.net/10453/16267