DEVELOPMENT OF A FUZZY-BASED MULTI-AGENT SYSTEM FOR E-COMMERCE SETTINGS

被引:6
作者
Balachandran, Bala M. [1 ]
Mohammadian, Masoud [2 ]
机构
[1] Univ Canberra, Fac ESTeM, Canberra, ACT 2601, Australia
[2] Univ Canberra, Fac Business Govt & Law, Canberra, ACT 2601, Australia
来源
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 | 2015年 / 60卷
关键词
Multi-agent systems; e-commerce; automated negotiation; fuzzy logic; fuzzy utility; JADE;
D O I
10.1016/j.procs.2015.08.186
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we present our experience in developing a fuzzy-logic based multi-agent e-commerce system capable of achieving a mutually beneficial deal for the seller and buyer using a negotiation process. We use fuzzy logic to assist users to express their preferences about a product in fuzzy terms such as low, medium and high. Our system evaluates offers based on a fuzzy utility function and feeds utility scores to a fuzzy inference system which then computes its next counter offer. Our paper presents issues involved in the development of a multi-agent system for e-commerce settings using the JADE platform - a modern agent development environment. In this paper our focus is on implementing agents of different types/roles engaged in activities usually encountered with buying and selling in an e-commerce environment. Our concluding remarks and future research are presented. (C) 2015 Published by Elsevier B.V.
引用
收藏
页码:593 / 602
页数:10
相关论文
共 12 条
  • [1] Bilateral agent negotiation for E-commerce based on fuzzy logic
    Al-Ashimaway, Walaa H.
    El-Sisi, A. B.
    [J]. 2007 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING & SYSTEMS: ICCES '07, 2007, : 64 - +
  • [2] Alem L., 2000, P INT C ADV INFR EL
  • [3] An intelligent fuzzy-based recommendation system for consumer electronic products
    Cao, Yukun
    Li, Yunfeng
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33 (01) : 230 - 240
  • [4] Cheng C.-B., 2005, P 3 INT C INF TECHN
  • [5] Diamah A., 2012, INT C UNC REAS KNOWL
  • [6] Fatima S. S., 2002, 1 INT JOINT C AUT AG
  • [7] Automated negotiation: Prospects, methods and challenges
    Jennings, NR
    Faratin, P
    Lomuscio, AR
    Parsons, S
    Wooldridge, MJ
    Sierra, C
    [J]. GROUP DECISION AND NEGOTIATION, 2001, 10 (02) : 199 - 215
  • [8] Narayanan V., 2005, CEC 05 P 7 IEEE INT
  • [9] Rosenschein J. S., 1994, Rules of Encounter: Designing Conventions for Automated Negotiation Among Computers
  • [10] Wang X., 2006, P IEEE CAN C EL COMP