Eighty thousand pairwise comparison matrices in groups corresponding to 20 experts (agents) with similar preference profiles
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In our research, we have undertaken a significant task testing the vulnerability of opinion aggregation algorithm in the Montecarlo method. This is a crucial study area, directly impacting decision-making and data analysis. Our paper, authored by K. Kulakowski, J. Szybowski, J. Mazurek, and S. Ernst (2024), titled 'Resilient heuristic aggregation of judgments in the pairwise comparisons method, 'published in Information Sciences 657 pp. 119979, presents our findings. We used a comprehensive set of 80000 pairwise comparison matrices, each corresponding to a pairwise comparison of n alternatives made by a specific decision agent (decision maker). Our research process was intricate, involving the formation of groups of 20 decision-makers who share a similar level of inconsistency and preference profile. These groups, formed by larger sets, are united by a similar preference profile, but the levels of preference consistency within these groups vary. The data we present reflects this complexity, with 40 levels of preference consistency among groups of agents. Ultimately, we drew 100 preference profiles from the studied data, with 34 profiles for five alternatives, 33 for six alternatives, and 33 for seven alternatives. Hence, in the file containing the test data in JSON format, we find a three-dimensional array whose elements are matrices corresponding directly to individual agents' preferences. At the attribute level labeled agent_matrix, we have individual elements—preference matrices. Higher up, at the level labeled agent_group, we have 20-person groups of agents with similar preference profiles and similar inconsistencies. In essence, these groups are being manipulated. At another level higher (labeled agent_profile), we have sets of groups corresponding to a similar decision profile with a given number of alternatives. Finally, we have a list of sets corresponding to different decision profiles at the highest level of the array, which is the input data set (labeled list_of_profiles).
提供机构:
AGH University of Krakow
创建时间:
2024-04-21



