№2, 2013


Ali Amooji

Stock Exchange Organization faced with difficulties. One of these problems is a lack of act fast on the transactions at the time of opening of market. The agents establish overlaps using their experiences to some extent that is very time consuming. In this paper, the behavior of the agents in the form of fuzzy rules are structured and based on it an expert system has been designed  for help to increase turnover and to prevent fluctuations at the time of opening of market. Preliminary evaluation has shown that installation and running the system can increase the turnover up to 30 percent. (pp. 90-98)

Keywords: expert systems, fuzzy systems, stocks exchange organization, decision, equilibrium price, fuzzy logic
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