{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:35:30Z","timestamp":1781105730228,"version":"3.54.1"},"reference-count":24,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,10,1]]},"abstract":"<p>This paper designs a novel fuzzy competition and attitude based bidding strategy (FCA-Bid) for continuous double auction in which the best transaction price is calculated on account of the attitude of the agents and the competition for the goods in the market. The estimation of attitude is based on the bidding item\u2019s attribute assessment, which adapts the fuzzy sets technique to handle uncertainty of the bidding process. Additionally, it uses heuristic rules to determine the attitude of bidding agents. The bidding strategy also uses and determines competition in the market (based on the two factors, number of the bidders participating and the total time elapsed for an auction) using Mamdani\u2019s Direct Method. Then the range for the trading price will be determined based on the assessed attitude and the competition in the market using the fuzzy reasoning technique. The final transaction price is calculated after considering the conflicting attitudes of the seller and the bidder toward selecting the transaction price.<\/p>","DOI":"10.4018\/jats.2010100105","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T15:23:50Z","timestamp":1297783430000},"page":"56-74","source":"Crossref","is-referenced-by-count":1,"title":["Automated Fuzzy Bidding Strategy for Continuous Double Auctions Using Trading Agent\u2019s Attitude and Market Competition"],"prefix":"10.4018","volume":"2","author":[{"given":"Madhu","family":"Goyal","sequence":"first","affiliation":[{"name":"University of Technology, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saroj","family":"Kaushik","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Preetinder","family":"Kaur","sequence":"additional","affiliation":[{"name":"University of Technology, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jats.2010100105-0","doi-asserted-by":"publisher","DOI":"10.1145\/857166.857167"},{"key":"jats.2010100105-1","doi-asserted-by":"crossref","unstructured":"Bapna, R., Jank, W., & Shmueli, G. (2004). Price formation and its dynamics in online auctions (Working paper No. RHS-06-003). College Park, MD: Smith School of Business, University of Maryland.","DOI":"10.2139\/ssrn.902887"},{"key":"jats.2010100105-2","unstructured":"Cliff, D. (1997). Minimal-intelligence agents for bargaining behaviours in market environments (Rep. No. HPL-97-91). HPLabs."},{"key":"jats.2010100105-3","doi-asserted-by":"crossref","unstructured":"Cliff, D. (2006). Evolutionary optimization of ZIP60: a controlled explosion in hyperspace Genetic And Evolutionary Computation Conference. In Proceedings of the 8th annual conference on Genetic and evolutionary computation (pp. 1621-1628).","DOI":"10.1145\/1143997.1144265"},{"key":"jats.2010100105-4","unstructured":"Das, R., Hanson, J. E., Kephart, J. O., & Tesauro, G. (2001).Agent-human interactions in the continuous double auction. 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