Presentation 2007/3/8
A Fuzzy Agent Approach to the Prediction of Internet Auction Successful Bid Price
Shinpei OKAMOTO, Satoshi MATSUDA,
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Abstract(in English) In order to predict a successful bid price in internet auction, we propose an internet auction model using fuzzy multi-agents. There are few studies about a successful bid price of auction. Because bidder's behavior is complicated, and model expression is difficult. The fuzzy technique is suitable for modeling the behavior of bidders. We compare the simulation results of our system with a real successful bid price, and show the good performance of our system.
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Keyword(in English) Auction / Multi-agent system / Fuzzy
Paper # AI2006-38
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Conference Information
Committee AI
Conference Date 2007/3/8(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Fuzzy Agent Approach to the Prediction of Internet Auction Successful Bid Price
Sub Title (in English)
Keyword(1) Auction
Keyword(2) Multi-agent system
Keyword(3) Fuzzy
1st Author's Name Shinpei OKAMOTO
1st Author's Affiliation Graduate Department of Mathematical Information Engineering, Major of Industrial Technology, Nihon University()
2nd Author's Name Satoshi MATSUDA
2nd Author's Affiliation Department of Mathematical Information Engineering, College of Industrial Technology, Nihon University
Date 2007/3/8
Paper # AI2006-38
Volume (vol) vol.106
Number (no) 586
Page pp.pp.-
#Pages 8
Date of Issue