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A Fuzzy Approach for Bidding Strategy Selection Cover
By: Galina Ilieva  
Open Access
|Mar 2013

Abstract

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.

DOI: https://doi.org/10.2478/cait-2012-0005 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 61 - 69
Published on: Mar 13, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2013 Galina Ilieva, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.