<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

A Fuzzy Approach for Bidding Strategy Selection

The University of Plovdiv “Paisii Hilendarski”, 4000 Plovdiv

Cybernetics and Information Technologies

{"article-title":"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...

A Fuzzy Approach for Bidding Strategy Selection

Published Online: Mar 13, 2013

Page range: 61 - 69

DOI: https://doi.org/10.2478/cait-2012-0005

Keywords
Software agents, bidding strategy selection

This content is open access.

A Fuzzy Approach for Bidding Strategy Selection

Published Online: Mar 13, 2013

Page range: 61 - 69

DOI: https://doi.org/10.2478/cait-2012-0005

KeywordsSoftware agents, bidding strategy selection

This content is open access.

Keywords
Software agents, bidding strategy selection