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- W2786855051 abstract "Nowadays, negotiation over e-commerce platform is gaining popularity in the research field. There are a number of models proposed for negotiation. Here, proposed research work uses Adaptive Neuro-Fuzzy Inference System (ANFIS) for classifying the user needs to negotiate over a product and predicting a counter offer as a seller to the offer made by the buyer. It then compares the results with Pareto Optimal (PO) solution gained by using Maximum Greedy Trade-off (MGT) Algorithm and a Multi-strategy Selection Algorithm to negotiate. ANFIS includes benefits of both Artificial Neural Network (ANN) and Fuzzy Logic (FL) Systems. Based on the comprehensive set of features of ANFIS and fuzzy rules, the negotiation is carried out between two parties. Experimental results illustrate promising results, as a comparative analysis is performed with respect to MGT and Multi-strategy Selection Algorithms to show the superior nature of ANFIS based negotiation model." @default.
- W2786855051 created "2018-02-23" @default.
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- W2786855051 date "2017-03-01" @default.
- W2786855051 modified "2023-09-27" @default.
- W2786855051 title "ANFIS-based model for negotiation over e-commerce systems" @default.
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- W2786855051 doi "https://doi.org/10.1109/iciiecs.2017.8276138" @default.
- W2786855051 hasPublicationYear "2017" @default.
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