A NEW AGENT MATCHING SCHEME USING AN ORDERED FUZZY SIMILARITY MEASURE AND GAME THEORY |
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| Authors: | Hamed Kebriaei and Vahid Johari Majd Ashkan Rahimi-Kian |
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| Affiliation: | Intelligent Control Systems Laboratory, Electrical Engineering Department, Tarbiat Modares University, Tehran, Iran;
Control &Intelligent Processing Center of Excellence, School of ECE, University of Tehran, Tehran, Iran |
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| 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. |
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| Keywords: | fuzzy similarity matchmaking leader–follower game multi-agent decision making |
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