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A NEW AGENT MATCHING SCHEME USING AN ORDERED FUZZY SIMILARITY MEASURE AND GAME THEORY.
- Source :
-
Computational Intelligence . May2008, Vol. 24 Issue 2, p108-121. 14p. 3 Diagrams, 6 Charts. - Publication Year :
- 2008
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08247935
- Volume :
- 24
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Computational Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 32150476
- Full Text :
- https://doi.org/10.1111/j.1467-8640.2008.00324.x