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

Volume

1

fYear

2014

fDate

26-27 Aug. 2014

Firstpage

379

Lastpage

383

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4799-4956-4

Type

conf

DOI

10.1109/IHMSC.2014.99

Filename

6917382