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

  • Authors:

  • Chi-Bin Cheng;Chu-Chai Henry Chan;Kun-Cheng Lin

  • Affiliations:

  • Department of Information Management, Tamkang University, Tamsui, Taipei County, Taiwan and Department of Industrial Engineering and Management, Chaoyang University of Technology, Wufeng, Taichung ...;Department of Industrial Engineering and Management, Chaoyang University of Technology, Wufeng, Taichung County, Taiwan;Department of Industrial Engineering and Management, Chaoyang University of Technology, Wufeng, Taichung County, Taiwan

  • Venue:
  • Decision Support Systems
  • Year:
  • 2006

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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.