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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Springer London

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ISSN

1433-3058

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A fuzzy system approach to multilateral automated

Authors: Bahador Shojaiemehr Marjan Kuchaki Rafsanjani
Publish Date: 2013/10/10
Volume: 25, Issue: 2, Pages: 367-377
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Abstract

Software agents in ecommerce systems are assigned to the participants Buyer and supplier agents into multiagent system architecture of the ecommerce system negotiate with others through an automated negotiation mechanism In this study an automated negotiation to interact between buyer and supplier and attain agreement for both is presented A fuzzy inference system was used to automate negotiation process and consider two effective factors in the negotiation process requirements and preferences Requirements are qualitative or quantitative values which the participants assign to the issues of negotiation Preferences of the participants are priorities assigned by them to issues These values express an importance measure of issues from a participant perspective Proposed model applies different fuzzy inference system FIS schemes for qualitative and quantitative negotiation issues to enhance the satisfaction level of the buyer and supplier The FISs infer based on the preferences and requirements of both parties Additionally analytic hierarchy process was used to get preferences of the issues In this proposal mediator uses issue tradeoffs strategy in which multiple issues are tradedoffs against one another The model applies a fuzzy system approach to make tradeoffs

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