Elicitating, modeling, and processing uncertain human preferences for software agents in electronic negotiations: An empirical study
Elicitating, modeling, and processing uncertain human preferences for software agents in electronic negotiations: An empirical study
复制标题
电子谈判中软件代理的不确定人类偏好的提取、建模和处理：一项实证研究
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Andreas Fink
中科院分区：
文献类型：
--
作者：
Fabian Lang;G. Schryen;Andreas Fink
电子商务中的交易成本可能变得微不足道，因为谈判过程可以分配给代表其人类委托人自主行事的软件代理人。这种优势使电子谈判对各种电子商务领域的参与者具有很大的吸引力，包括在线拍卖和产品配置谈判。然而，软件代理只有在其主体的偏好明确可用时才能适当地协商。虽然这项任务已被公认为是一项关键的挑战，但很少有人研究如何提取和建模人类主体的偏好。本文解决了这一研究空白，建议，实施和实证测试的偏好引出方法，是基于模糊集理论和帐户的不精确性和主观性的偏好。我们的研究结果表明，所提出的方法是适合于引出基于模糊集的偏好。此外，模糊偏好模型可以更准确地预测人类的决策比传统的，清晰的方法。
Transaction costs in electronic business may become marginal, since negotiation processes can be assigned to software agents which act autonomously on behalf of their human principals. This advantage makes electronic negotiations highly appealing to actors in various e-business areas, including online auctions and product configuration negotiations. However, software agents can negotiate appropriately only if the preferences of their principals are explicitly available. While this task has been acknowledged as crucial challenge, it has only rarely been investigated how preferences of human principals can be extracted and modeled. This paper addresses this research gap by suggesting, implementing, and empirically testing a preference elicitation method that is based on fuzzy set theory and accounts for the impreciseness and subjectivity of preferences. Our findings indicate that the proposed method is suited for elicitating fuzzy set based preferences. Furthermore, the fuzzy preference model can project human decisions more accurately than a traditional, crisp approach.