Intelligent agents for e-Marketplace: negotiation with issue trade-offs by fuzzy inference systems

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Title:	Intelligent agents for e-Marketplace: negotiation with issue trade-offs by fuzzy inference systems
Authors:	鄭啟斌;Chan, C.-C. H.;Lin, K.-C.
Contributors:	淡江大學資訊管理學系
Keywords:	Automated negotiation;e-marketplace;Issue trade-offs;Fuzzy inference systems;Multiple-objective decision making
Date:	2006-11-01
Issue Date:	2011-10-23 13:17:45 (UTC+8)
Abstract:	Automated negotiation by autonomous agents has become increasingly important since the advent of e-marketplace. In this study, automated negotiation is viewed as a search process in which negotiators jointly search for a mutually acceptable contract in a multidimensional space formed by negotiable issues. This search is formulated as a multiple-objective decision making problem and is solved through an iterative process of generating offers by fuzzy inference systems. These fuzzy inference systems serve as a search heuristic and are formulated based on the strategy of issue trade-offs. Five experiments are conducted to evaluate the performance of the proposed automated negotiation algorithm.
Relation:	Decision Support Systems 42(2), pp.626-638
DOI:	10.1016/j.dss.2005.02.009
Appears in Collections:	[Graduate Institute & Department of Information Management] Journal Article

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