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
Link To Document :
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