A Fuzzy Approach for Bidding Strategy Selection

The goal of this work is to explore the applicability of fuzzy logic in multiagent systems for choosing the best bidding strategy in electronic auction. To find the multi-criterion ordering, agents use a fuzzy algorithm ARAKRI2 with direct aggregation operators MaxMin and MinAvg. The key difference between this new approach and known from the literature solution FTNA is in the lack of weighted coefficients. Despite the difference both algorithms give results that are similar. Therefore, the proposed approach can successfully solve the task for multi criteria selection of bidding strategy.