计算机应用 ›› 2014, Vol. 34 ›› Issue (11): 3250-3253.DOI: 10.11772/j.issn.1001-9081.2014.11.3250

• 人工智能 • 上一篇    下一篇

基于模糊软集合理论的Agent联盟评价

桂海霞1,周华平2   

  1. 1. 安徽理工大学 经济与管理学院,安徽 淮南 232001;
    2. 安徽理工大学 计算机科学与工程学院,安徽 淮南 232001
  • 收稿日期:2014-05-26 修回日期:2014-07-01 出版日期:2014-11-01 发布日期:2014-12-01
  • 通讯作者: 桂海霞
  • 作者简介:桂海霞(1978-),女,安徽桐城人,副教授,博士研究生,主要研究方向:分布式智能控制、多Agent系统;周华平(1979-),女,河南唐河人,副教授,博士,主要研究方向:信息融合。
  • 基金资助:

    江苏高校优势学科建设工程项目;安徽理工大学青年教师科学研究基金资助项目

Evaluation of Agent coalition based on fuzzy soft set theory

GUI Haixia1,ZHOU Huaping2   

  1. 1. School of Economics and Management, Anhui University of Science and Technology, Huainan Anhui 232001, China;
    2. School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan Anhui 232001, China
  • Received:2014-05-26 Revised:2014-07-01 Online:2014-11-01 Published:2014-12-01
  • Contact: GUI Haixia

摘要:

针对多Agent系统中影响联盟功效的因素存在很强的模糊性和不确定性的问题,提出采用模糊软集合理论对Agent联盟进行综合评价。首先,待评价联盟给出自己属性,每位专家根据自己的知识和经验给出评价指标集及对应的评价矩阵;然后,利用模糊软集合理论实现评价矩阵的融合,得到最终评价结果。最后通过实例说明该方法能有效、合理地处理信息的模糊性和不确定性,评价过程符合人的思维判断。

Abstract:

To solve the problem that the factors, which affect the coalition efficacy in Multi-Agent Systems (MAS), have strong ambiguity and uncertainty, fuzzy soft set theory was adopted to make a comprehensive evaluation on Agent coalition. First, the coalition to be evaluated gave its own property, each expert gave evaluation set of indexes and corresponding evaluation matrix according to his knowledge and experience. Then, fuzzy soft set theory was used to fuse the evaluation matrix and obtain the results of final evaluation. Finally, a practical example was given to prove that the method can deal with ambiguity and uncertainty of information effectively and reasonably, and the process of evaluation accords with human thinking and judgment.

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