Paper Info
Title
A New Agent Matching Scheme Using An Ordered Fuzzy Similarity Measure And Game Theory
Abstract
In this paper, an agent matching method for bilateral contracts in a multi-agent market is proposed. Each agent has a hierarchical representation of its trading commodity attributes by a tree structure of fuzzy attributes. Using this structure, the similarity between the trees of each pair of buyer and seller is computed using a new ordered fuzzy similarity algorithm. Then, using the concept of Stackelberg equilibrium in a leader-follower game, matchmaking is performed among the sellers and buyers. The fuzzy similarities of each agent with others in its personal viewpoint have been used as its payoffs in a bimatrix game. Through a case study for bilateral contracts of energy, the capabilities of the proposed agent-based system are illustrated.
Year
DOI
Venue
2008
10.1111/j.1467-8640.2008.00324.x
COMPUTATIONAL INTELLIGENCE
Keywords
Field
DocType
fuzzy similarity, matchmaking, leader-follower game, multi-agent decision making
Computer science,Fuzzy logic,Bimatrix game,Fuzzy similarity,Tree structure,Fuzzy similarity measure,Game theory,Artificial intelligence,Stackelberg competition,Machine learning
Journal
Volume
Issue
ISSN
24
2
0824-7935
Citations 
PageRank 
References 
3
0.39
9
Authors
3
Name
Order
Citations
PageRank
Hamed Kebriaei17014.91
Vahid Johari Majd215415.51
Ashkan Rahimi-Kian310815.42