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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68583


    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:[資訊管理學系暨研究所] 期刊論文

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