Abstract
This paper presents an automated sealed-bid design for multi-issue negotiation. In our negotiation model, both agents simultaneously submit their offers to the mediate agent. Each agent has a representation of its desired attributes for a trading commodity using fuzzy linguistic terms. This method is flexible for the agents to offer according to own demand, taking into account the interdependencies between the attributes. It is important to emphasize that proposed bargaining method is carried out under incomplete information, and agents’ information about own parameters are considered completely private. The design can discourage counter-speculation and effectively control fraud and misrepresentation in a certain extent. In addition, using the proposed method of calculating agreed-price, agents can be stimulated to reach an agreement as early as possible. Through a case study, the capabilities of the proposed method are illustrated.
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Zhang, L., Song, H., Chen, X. (2009). Automated Sealed-Bid Negotiation Model for Multi-issue Based on Fuzzy Method. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_2
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DOI: https://doi.org/10.1007/978-3-642-01510-6_2
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