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Character processing for intelligent agents in the electronic market using fuzzy logic | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 15، شماره 6، شهریور 2024، صفحه 339-348 اصل مقاله (907.63 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.27777.3705 | ||
| نویسندگان | ||
| Abouzar Barzegar؛ Seyedeh Razieh Malekhosseini* ؛ Karamollah Bagherifard | ||
| Department of Computer, Faculty of Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran | ||
| تاریخ دریافت: 20 اسفند 1400، تاریخ بازنگری: 30 تیر 1401، تاریخ پذیرش: 01 مرداد 1401 | ||
| چکیده | ||
| This paper presents the design of fuzzy electronic markets based on several agents. The character of the buyer and seller agents influences their behavior in the market. Various factors play an important role in the precise, real, flexible and attractive design of a market. This research aims to model the market and the character of intelligent agents based on fuzzy logic. In the market, sellers are known with different titles or credits. Results confirmed that sellers with high levels of personality would gain more credit than other sellers, consequently, they earn more sales and profit. In this model, when a seller does not tell the truth about his product, the customer might also suspect the honesty of the seller about the quality of other products. In fact, the seller is recognized as a non-reputable person who possibly conceals the truth regarding the quality of his products. Therefore, the costumer will focus on sellers with high reputation for the future purchases. If the costumer finds no reputable seller, he will buy from those sellers whose credibility has not yet been evaluated (disreputable seller). He only purchases again from the non-reputable sellers if he could find neither the reputable seller nor the disreputable seller. Salesmen can offer promotions for attracting customers which is the most important goal of sellers. One of the promotions is giving discounts to buyers who have made more purchases from specific sellers or have brought more profit for the seller. In the proposed model, the discount was an important factor in attracting customers, which was achieved by sellers with high personalities. This feature was not included in previous models, and we have implemented this model with Aglet, and MATLAB. Results indicated that fuzzy agents modelling buy/sell based on their personality are more satisfied than sell/buy agents using only fixed bids. | ||
| کلیدواژهها | ||
| personality؛ fuzzy logic؛ reliability؛ electronic market؛ intelligent agent | ||
| مراجع | ||
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[1] O. Bamasak and N. Zhang, A distributed reputation management scheme for mobile agent based e-commerce applications, IEEE Int. Conf. e-Technol. e-Commerce e-Serv., IEEE, 2005, pp. 270–275. [2] A. Chavez and P. Maes, Kasbah: An Agent Marketplace for Buying and Selling Goods, Practical Application, 1996. [3] T.-W. Cheng, W.-L. Wang, and A.-P. Chen, E-marketplace using artificial immune system as matchmaker, Proc. IEEE Int. Conf. e-Commerce Technol. CEC 2004, IEEE, 2004, pp. 358–361. [4] A.M. Chircu and R.J. Kauffman, Reintermediation strategies in business-to-business electronic commerce, Int. J. Electronic Commerce 4 (2000), no. 4, 7–42. [5] S.R. Conn and M.L. Rieke, 16PF: Technical Manual, Institute for personality and ability testing, 1994. [6] G.M. Copas, Can internet shoppers be described by personality traits, Usability News 5 (2003), no. 1, 1–4. [7] P. Dasgupta, N. Narasimhan, L.E. Moser, and P.M. Melliar-Smith, Magnet: mobile agents for networked electronic trading, IEEE Trans. Knowledge Data Engin. 11 (1999), no. 4, 509–525. [8] J.-G. Lee, J.-Y. Kang, and E.-S. Lee, Icoma: an open infrastructure for agent-based intelligent electronic commerce on the internet, Proc. 1997 Int. Conf. Parallel Distrib. Syst., IEEE, 1997, pp. 648–655. [9] D. Meyer, A. Karatzoglou, F. Leisch, C. Buchta, and K. Hornik, A simulation framework for heterogeneous agents, Comput. Econ. 22 (2003), 285–301. [10] J.C. Mowen, The 3M Model of Motivation and Personality: Theory and Empirical Applications to Consumer Behavior, Springer Science & Business Media, 2000. [11] T. Tran, Reputation-oriented reinforcement learning strategies for economically-motivated agents in electronic market environments, PhD thesis, PhD Thesis, 2004. [12] T. Tran and R. Cohen, Improving user satisfaction in agent-based electronic marketplaces by reputation modelling and adjustable product quality, Proc. Third Int. Joint Conf. Autonomous Agents Multiagent Syst.-Volume 2, 2004, pp. 828–835. [13] C. Vermeulen and B. Bauwens, Intelligent agents for on-line commerce: A crying need for service standardization, Fourth Int. Workshop Commun. Network. Process., IEEE, 1997, pp. 87–92. [14] J.M. Vidal and E.H. Durfee, The impact of nested agent models in an information economy, Proc. Second Int. Conf. Multi-Agent Syst., 1996, pp. 377–384. [15] Y.-H. Wang, W.-N. Wang, C.-A. Wang, and A.-C. Cheng, An agent based e-marketplace over e-business, First Int. Symp. Cyber Worlds Proc., IEEE, 2002, pp. 303–310. [16] J.S. Wiggins, The Five-Factor Model of Personality: Theoretical Perspectives, Guilford Press, 1996. [17] L. Zadeh, Fuzzy sets, Inf. Control 8 (1965), 338–353. | ||
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