Experimental Data and Analysis for Improving decision-makers' preference representation in decision support systems through an extended Fuzzy Ranking Comparison method

Published: 28 September 2026| Version 1 | DOI: 10.17632/r6rdrgcdzj.1
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Description

Możesz dać taki krótki opis: > This dataset contains the results of a simulation study evaluating the accuracy of criterion weight reproduction in the Fuzzy RANCOM method using different preference relationship functions for comparing criterion importance. The dataset includes metrics measuring the similarity and differences between the weights obtained using the investigated relationship functions and the corresponding reference weights across different experimental settings.

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Steps to reproduce

1. Download the data with experiment results. 2. Place the downloaded dataset in the directory specified in analysis.ipynb. 3. Install Python and the required dependencies. 4. Open analysis.ipynb using Jupyter Notebook or JupyterLab. 5. Run all cells sequentially from the beginning to the end. 6. The notebook performs the required data preprocessing and computational analysis. 7. The resulting tables, statistics, figures, and other outputs correspond to the analyses reported in the accompanying manuscript.

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Categories

Soft Computing, Decision Making

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