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Updated: Dec 11, 2025

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MCDA Index Tool: an interactive software to develop indices and rankings.

Marco Cinelli1,2, Matteo Spada3, Wansub Kim1

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|August 25, 2020
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Summary

The MCDA Index Tool helps users create and rank alternatives using multiple methods. This software aids non-experts in evaluating decision-making robustness and understanding preference model impacts.

Keywords:
AggregationComposite indicatorIndex developmentMCDANormalizationSoftware

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Area of Science:

  • Decision Science
  • Computational Social Science

Background:

  • Multiple Criteria Decision Analysis (MCDA) is crucial for complex decision-making.
  • Assessing the robustness of decision recommendations requires accounting for diverse preferences.
  • Non-experts often need accessible tools for developing and evaluating decision indices.

Purpose of the Study:

  • To introduce the MCDA Index Tool, a web-based software for index development and alternative ranking.
  • To provide a dynamic platform for users, especially non-MCDA experts, to shape and evaluate indices.
  • To offer novel approaches for uncertainty and sensitivity analysis in preference modeling.

Main Methods:

  • The MCDA Index Tool allows direct data input from spreadsheets.
  • Users can build indices by selecting various normalization methods and aggregation functions.
  • The tool enables visualization and comparison of index scores and rankings for robustness assessment.

Main Results:

  • The software facilitates the dynamic creation and evaluation of multiple indices.
  • It provides operational solutions for assessing the influence of different index development strategies.
  • A case study on energy security and sustainability demonstrates the tool's application.

Conclusions:

  • The MCDA Index Tool empowers analysts to dynamically evaluate ranking stability.
  • It supports the inclusion of multiple decision-makers' and stakeholders' preferences.
  • The tool enhances the constructive evaluation of decision-making processes.