A fuzzy system approach to multilateral automated negotiation in B2C e-commerce

Shojaiemehr, Bahador; Rafsanjani, Marjan Kuchaki

doi:10.1007/s00521-013-1491-y

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…After taking input from FOM, decision maker component decides to reject or accept the offer. It makes decision on the basis of seller's and buyer's proposal and compute partial score for each issue [2].…”

Section: Fuzzy Systemmentioning

confidence: 99%

An Approach on Multilateral Automated Negotiation

Patrikar¹,

Vij²,

Mukhopadhyay³

2015

Procedia Computer Science

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In E-commerce, numbers of transactions are increasing day by day in B2B and B2C trade. Online negotiation is possible because of automated negotiation. In this paper, we propose linear programming and pattern matching based multilateral automated negotiation system and study some multilateral system with several methods. We have studied fuzzy inference logic based system, multithreading based automated negotiation system, linear programming based system and genetic algorithm based system and we have compared some methods of automated negotiation. Multilateral negotiation system gives better result to participant than bilateral automated negotiation. Technique of pattern matching based automated negotiation gives fast result and reduces overhead of calculation. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the 4th International Conference on Advances in Computing, Communication and Control (ICAC3'15).

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Section: Fuzzy Systemmentioning

confidence: 99%