Fuzzy Utility and Interface System for Bilateral negotiation

Masoud Mohammadian, Bala Balachandran

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    4 Citations (Scopus)

    Abstract

    In this paper the development of a fuzzy logic based software agent for bilateral e-negotiation is considered. The developed fuzzy logic based intelligent agent is applied to a laptop purchasing model which allows users that have limited knowledge on different range of laptops available, to define the different attributes of laptop in human language such as low, medium or high price, speed, screen size and other attributes. The intelligent agent then performs an automatic evaluation on how close an item matches user preferences using fuzzy logic based decision-making built into the intelligent agent. We develop tactic for the intelligent agent so that it can change its decision making for example how much the agent should increase counter offer in its negotiation, depending on laptop utility score, offer price of the laptop and remaining negotiation time. Simulation results show that the buyer agent concedes more (i.e. raises its offer price) if laptop attributes being negotiated meets its client preferences better and concedes less if otherwise
    Original languageEnglish
    Title of host publication2012 International Conference on Uncertainty Reasoning and Knowledge Engineering
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages115-118
    Number of pages4
    ISBN (Electronic)9781467314602
    ISBN (Print)9781467314596
    DOIs
    Publication statusPublished - 2012
    Event2012 International Conference on Uncertainty Reasoning and Knowledge Engineering - Jakarta, Jakarta, Indonesia
    Duration: 14 Aug 201215 Aug 2012

    Conference

    Conference2012 International Conference on Uncertainty Reasoning and Knowledge Engineering
    Abbreviated titleURKE 2012
    CountryIndonesia
    CityJakarta
    Period14/08/1215/08/12

    Fingerprint

    Intelligent agents
    Fuzzy logic
    Decision making
    Software agents
    Purchasing

    Cite this

    Mohammadian, M., & Balachandran, B. (2012). Fuzzy Utility and Interface System for Bilateral negotiation. In 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering (pp. 115-118). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/URKE.2012.6319522
    Mohammadian, Masoud ; Balachandran, Bala. / Fuzzy Utility and Interface System for Bilateral negotiation. 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering. USA : IEEE, Institute of Electrical and Electronics Engineers, 2012. pp. 115-118
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    title = "Fuzzy Utility and Interface System for Bilateral negotiation",
    abstract = "In this paper the development of a fuzzy logic based software agent for bilateral e-negotiation is considered. The developed fuzzy logic based intelligent agent is applied to a laptop purchasing model which allows users that have limited knowledge on different range of laptops available, to define the different attributes of laptop in human language such as low, medium or high price, speed, screen size and other attributes. The intelligent agent then performs an automatic evaluation on how close an item matches user preferences using fuzzy logic based decision-making built into the intelligent agent. We develop tactic for the intelligent agent so that it can change its decision making for example how much the agent should increase counter offer in its negotiation, depending on laptop utility score, offer price of the laptop and remaining negotiation time. Simulation results show that the buyer agent concedes more (i.e. raises its offer price) if laptop attributes being negotiated meets its client preferences better and concedes less if otherwise",
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    Mohammadian, M & Balachandran, B 2012, Fuzzy Utility and Interface System for Bilateral negotiation. in 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering. IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 115-118, 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering, Jakarta, Indonesia, 14/08/12. https://doi.org/10.1109/URKE.2012.6319522

    Fuzzy Utility and Interface System for Bilateral negotiation. / Mohammadian, Masoud; Balachandran, Bala.

    2012 International Conference on Uncertainty Reasoning and Knowledge Engineering. USA : IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 115-118.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AB - In this paper the development of a fuzzy logic based software agent for bilateral e-negotiation is considered. The developed fuzzy logic based intelligent agent is applied to a laptop purchasing model which allows users that have limited knowledge on different range of laptops available, to define the different attributes of laptop in human language such as low, medium or high price, speed, screen size and other attributes. The intelligent agent then performs an automatic evaluation on how close an item matches user preferences using fuzzy logic based decision-making built into the intelligent agent. We develop tactic for the intelligent agent so that it can change its decision making for example how much the agent should increase counter offer in its negotiation, depending on laptop utility score, offer price of the laptop and remaining negotiation time. Simulation results show that the buyer agent concedes more (i.e. raises its offer price) if laptop attributes being negotiated meets its client preferences better and concedes less if otherwise

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    Mohammadian M, Balachandran B. Fuzzy Utility and Interface System for Bilateral negotiation. In 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering. USA: IEEE, Institute of Electrical and Electronics Engineers. 2012. p. 115-118 https://doi.org/10.1109/URKE.2012.6319522