Title :
A Strategy Based on Grey Relational Grade for Fuzzy Coalition Formulation
Author :
Jingbei Tian ; Jianguo Jiang ; Guofu Zhang ; Zhaopin Su
Author_Institution :
Sch. of Comput. & Inf. Sci., Hefei Univ. of Technol., Hefei, China
Abstract :
This paper presents a strategy to solve the fuzzy coalition formulation problem, which is a difficult topic in multi-agent system (MAS). Based on the grey relational theory, a grey relational grade sequence has been firstly established to describe the relationship between agent capability and task requirement. Then a strategy for fuzzy coalition formation, which combines a stimulation mechanism with some constraint conditions, is proposed on the basis of the grey relational grade sequence. Compared with existing research results, the proposed strategy is more rational and effective.
Keywords :
fuzzy set theory; grey systems; multi-agent systems; MAS; agent capability; fuzzy coalition formulation problem; grey relational grade sequence; grey relational theory; multiagent system; stimulation mechanism; task requirement; Autonomous agents; Computers; Correlation; Educational institutions; Games; Uncertainty; Vectors; fuzzy coalition; grey relational grade; multi-agent systems;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.99
