AUTOMATED NEGOTIATION IN A MARKET BASED SYSTEM USING FUZZY LOGIC

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Vinay D. Pahelkar
Nitin V. Londhe
Akash L. Tonde
Ajay J. Palan

Abstract

Negotiation process to get automated a mechanism that allows agent to negotiate automatically to reach mutually beneficial agreement is not a easy task .There may be many inconsistencies in the knowledge of other agents there may be conflicting objective of various agents all these should be properly handled by the mechanism autonomously and coordinate a joint approach to main domain task so that benefit goes to agents. When agents are involved in any of the negotiation process some of the profit percentage is being provided to that agent .This paper, thus, propose a model of negotiation for interaction between the seller and buyer without any intermediate agent. Instead of agent there will be a model of negotiation that will make the negotiation process more cost efficient by eliminating extra percentage give to agents likewise its predecessors this paper will take agent negotiation to another height making it more efficient and effective .We used the Fuzzy logic(Decision making function) which allows dealing with ambiguity and common sense reasoning .To achieve this objective our model will do all the negotiation process using this Fuzzy logic (decision making function).

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How to Cite
Pahelkar, V. D., Londhe, N. V., Tonde, A. L., & Palan, A. J. (2015). AUTOMATED NEGOTIATION IN A MARKET BASED SYSTEM USING FUZZY LOGIC. Multidisciplinary Journal of Research in Engineering and Technology, 2(3), 612–619. https://doi.org/10.65521/mjret.v2i3.1036
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