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。
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.
出处
《计算机应用》
CSCD
北大核心
2014年第11期3250-3253,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(51174257)
安徽理工大学青年教师科学研究基金资助项目(2012QNY34)
关键词
AGENT联盟
复杂控制与决策
模糊软集合
信息融合
综合评价
Agent coalition
complex control and decision making
fuzzy soft set
information fusion
comprehensive evaluation
