Fuzzy Utility and Interface System for Bilateral negotiation

Masoud Mohammadian; Bala Balachandran

doi:10.1109/URKE.2012.6319522

Fuzzy Utility and Interface System for Bilateral negotiation

Masoud Mohammadian, Bala Balachandran

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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 language	English
Title of host publication	2012 International Conference on Uncertainty Reasoning and Knowledge Engineering
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	115-118
Number of pages	4
ISBN (Electronic)	9781467314602
ISBN (Print)	9781467314596
DOIs	https://doi.org/10.1109/URKE.2012.6319522
Publication status	Published - 12 Aug 2012
Event	2012 International Conference on Uncertainty Reasoning and Knowledge Engineering - Jakarta, Jakarta, Indonesia Duration: 14 Aug 2012 → 15 Aug 2012

Conference

Conference	2012 International Conference on Uncertainty Reasoning and Knowledge Engineering
Abbreviated title	URKE 2012
Country/Territory	Indonesia
City	Jakarta
Period	14/08/12 → 15/08/12

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10.1109/URKE.2012.6319522

Cite this

@inproceedings{b8c67da77c2844b1aefcb40ec40952aa,

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",

keywords = "negotiations, Decision Making, Fuzzy Logic, Evolutionary algorithms",

author = "Masoud Mohammadian and Bala Balachandran",

year = "2012",

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day = "12",

doi = "10.1109/URKE.2012.6319522",

language = "English",

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pages = "115--118",

booktitle = "2012 International Conference on Uncertainty Reasoning and Knowledge Engineering",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2012 International Conference on Uncertainty Reasoning and Knowledge Engineering, URKE 2012 ; Conference date: 14-08-2012 Through 15-08-2012",

}

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 Book › Conference contribution › peer-review

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T1 - Fuzzy Utility and Interface System for Bilateral negotiation

AU - Mohammadian, Masoud

AU - Balachandran, Bala

PY - 2012/8/12

Y1 - 2012/8/12

N2 - 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

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

KW - negotiations

KW - Decision Making

KW - Fuzzy Logic

KW - Evolutionary algorithms

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DO - 10.1109/URKE.2012.6319522

M3 - Conference contribution

SN - 9781467314596

SP - 115

EP - 118

BT - 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering

Y2 - 14 August 2012 through 15 August 2012

ER -

Fuzzy Utility and Interface System for Bilateral negotiation

Abstract

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