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Visualization of uncertain data in the NEAT F-PROMETHEE method
Paweł Ziemba1, Mateusz Piwowarski1, Kesra Nermend1
1Institute of Management, University of Szczecin, Aleja Papieża Jana Pawła II 22A, 70-453 Szczecin, Poland.
Graphical visualizations significantly improve the understanding of uncertain data in multi-criteria decision analysis (MCDA). Visual representations of fuzzy numbers in the NEAT F-PROMETHEE method offer clearer insights than traditional tables.
Area of Science:
- Decision Sciences
- Information Visualization
- Fuzzy Logic
Background:
- Decision-making problems often involve complex descriptions of alternatives and consequences.
- Multi-criteria decision analysis (MCDA) utilizes graphical visualizations to aid in understanding decision situations.
- Existing MCDA methods, like NEAT F-PROMETHEE, handle uncertainty and imprecision using fuzzy numbers.
Purpose of the Study:
- To develop novel visualizations for presenting uncertain data within the NEAT F-PROMETHEE MCDA method.
- To create visualizations capable of representing fuzzy numbers and incorporating uncertainty.
- To compare the effectiveness of graphical versus tabular data presentation for fuzzy numbers in MCDA.
Main Methods:
- Development of specialized graphical visualizations for fuzzy number data.
- Application of these visualizations within the NEAT F-PROMETHEE decision-making framework.
- Empirical verification through comparison of information processing, understanding, and interpretation between visual and tabular formats.
Main Results:
- Graphical representations were found to be superior to tabular formats for presenting uncertain data.
- Visualizations effectively handle fuzzy numbers, mitigating information overload common with large tables.
- Analysts can more readily interpret relationships and compare fuzzy numbers using graphical displays.
Conclusions:
- Developed visualizations enhance the clarity and interpretability of uncertain data in MCDA.
- Graphical presentation of fuzzy numbers in NEAT F-PROMETHEE facilitates better decision-making.
- Visualizations offer a more intuitive and efficient alternative to tabular data for complex decision scenarios.
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