DocumentCode
2664998
Title
A Fuzzy Bidding Strategy in Automated Auctions Using Agent´s Perspective
Author
Ma, Jun ; Goyal, Madhu Lata
Author_Institution
Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW, Australia
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
907
Lastpage
911
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 goods and assessment of agent´s attitudes to procure an item in automated auction. The assessment of attributes adapts fuzzy set technique to handle uncertainty of bidding process as well as heuristic rules to determine attitude of 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.
Keywords
commerce; fuzzy set theory; game theory; software agents; automated auction; bidding process uncertainty; fuzzy attitude based bidding strategy; fuzzy set technique; heuristic rule; overall assessment technique; Australia; Autonomous agents; Fuzzy sets; Information technology; Intelligent agent; Position measurement; Pricing; Procurement; Software agents; Uncertainty; Automated Auctions; Bidding Strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location
Vienna
Print_ISBN
978-0-7695-3514-2
Type
conf
DOI
10.1109/CIMCA.2008.103
Filename
5172746
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